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Mykel J. Kochenderfer
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- affiliation: Stanford University
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2020 – today
- 2024
- [j48]Erdem Biyik
, Nicolas Huynh, Mykel J. Kochenderfer
, Dorsa Sadigh:
Active preference-based Gaussian process regression for reward learning and optimization. Int. J. Robotics Res. 43(5): 665-684 (2024) - [j47]Robert J. Moss
, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois:
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems. J. Aerosp. Inf. Syst. 21(7): 533-546 (2024) - [j46]Victoria Magdalena Dax
, Jiachen Li
, Enna Sachdeva
, Nakul Agarwal
, Mykel J. Kochenderfer
:
Disentangled Neural Relational Inference for Interpretable Motion Prediction. IEEE Robotics Autom. Lett. 9(2): 1452-1459 (2024) - [j45]Alexandros E. Tzikas
, Jinkyoo Park
, Mykel J. Kochenderfer
, Ross E. Allen
:
Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics Autom. Lett. 9(7): 6656-6663 (2024) - [j44]Marija Popovic
, Joshua Ott
, Julius Rückin
, Mykel J. Kochenderfer
:
Learning-based methods for adaptive informative path planning. Robotics Auton. Syst. 179: 104727 (2024) - [j43]Jiachen Li
, David Isele
, Kanghoon Lee
, Jinkyoo Park
, Kikuo Fujimura
, Mykel J. Kochenderfer
:
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics 40: 2932-2949 (2024) - [c171]Isaac R. Ward, Dylan M. Asmar, Mansur Arief, Jana Krystofova Mike, Mykel J. Kochenderfer:
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. CBMS 2024: 192-198 - [c170]Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer:
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. ICAPS 2024: 565-569 - [c169]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. IV 2024: 2855-2861 - [c168]Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush:
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV 2024: 7498-7507 - [i214]Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer:
Disentangled Neural Relational Inference for Interpretable Motion Prediction. CoRR abs/2401.03599 (2024) - [i213]Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer:
Graph Q-Learning for Combinatorial Optimization. CoRR abs/2401.05610 (2024) - [i212]Ali Baheri, Mykel J. Kochenderfer:
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. CoRR abs/2401.10949 (2024) - [i211]Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer:
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR abs/2401.12275 (2024) - [i210]Alexandros E. Tzikas, Licio Romao, Mert Pilanci, Alessandro Abate, Mykel J. Kochenderfer:
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers. CoRR abs/2401.15838 (2024) - [i209]Muhammad Fadhil Ginting, David D. Fan, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments. CoRR abs/2401.17191 (2024) - [i208]Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd:
Approximate Sequential Optimization for Informative Path Planning. CoRR abs/2402.08841 (2024) - [i207]Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer:
Entropy-regularized Point-based Value Iteration. CoRR abs/2402.09388 (2024) - [i206]Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer:
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. CoRR abs/2403.17358 (2024) - [i205]Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer:
Robotic Learning for Adaptive Informative Path Planning. CoRR abs/2404.06940 (2024) - [i204]Joshua Ott, Edward Balaban, Mykel J. Kochenderfer:
Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing. CoRR abs/2404.18374 (2024) - [i203]Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer:
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. CoRR abs/2405.00644 (2024) - [i202]Muhammad Fadhil Ginting, Sung-Kyun Kim, David D. Fan, Matteo Palieri, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi:
SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks. CoRR abs/2405.09822 (2024) - [i201]Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen:
Distributed Online Planning for Min-Max Problems in Networked Markov Games. CoRR abs/2405.19570 (2024) - [i200]Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer:
Diffusion-Based Failure Sampling for Cyber-Physical Systems. CoRR abs/2406.14761 (2024) - [i199]Mahdi Al-Husseini, Kyle Wray, Mykel J. Kochenderfer:
Hierarchical Framework for Optimizing Wildfire Surveillance and Suppression using Human-Autonomous Teaming. CoRR abs/2406.17189 (2024) - [i198]Amelia F. Hardy, Houjun Liu, Bernard Lange, Mykel J. Kochenderfer:
ASTPrompter: Weakly Supervised Automated Language Model Red-Teaming to Identify Likely Toxic Prompts. CoRR abs/2407.09447 (2024) - 2023
- [j42]Alexandros E. Tzikas
, Derek Knowles, Grace Xingxin Gao, Mykel J. Kochenderfer
:
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards. J. Aerosp. Inf. Syst. 20(8): 437-446 (2023) - [j41]Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer
, Claire J. Tomlin, Zachary N. Sunberg:
Optimality Guarantees for Particle Belief Approximation of POMDPs. J. Artif. Intell. Res. 77: 1591-1636 (2023) - [j40]Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio
, Dragos D. Margineantu, Cheng Soon Ong:
Guest Editorial: Special issue on robust machine learning. Mach. Learn. 112(8): 2787-2789 (2023) - [j39]Sydney M. Katz
, Kyle D. Julian
, Christopher A. Strong
, Mykel J. Kochenderfer
:
Generating probabilistic safety guarantees for neural network controllers. Mach. Learn. 112(8): 2903-2931 (2023) - [j38]Christopher A. Strong
, Haoze Wu
, Aleksandar Zeljic
, Kyle D. Julian
, Guy Katz
, Clark W. Barrett
, Mykel J. Kochenderfer
:
Global optimization of objective functions represented by ReLU networks. Mach. Learn. 112(10): 3685-3712 (2023) - [j37]Raunak P. Bhattacharyya
, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer
:
Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Trans. Intell. Transp. Syst. 24(3): 2874-2887 (2023) - [c167]Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
:
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. ICAPS 2023: 198-202 - [c166]Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC 2023: 1-6 - [c165]Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
:
Deep Normalizing Flows for State Estimation. FUSION 2023: 1-6 - [c164]Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
:
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. ICRA 2023: 1530-1536 - [c163]Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
:
Model Predictive Optimized Path Integral Strategies. ICRA 2023: 3182-3188 - [c162]Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott
, Sunggoo Jung, Mykel J. Kochenderfer
, Ali-akbar Agha-mohammadi:
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. ICRA 2023: 5653-5658 - [c161]Joshua Ott
, Edward Balaban, Mykel J. Kochenderfer
:
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. ICRA 2023: 7894-7901 - [c160]Christopher E. Denniston, Oriana Peltzer, Joshua Ott
, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer
, Mac Schwager, Ali-akbar Agha-mohammadi:
Fast and Scalable Signal Inference for Active Robotic Source Seeking. ICRA 2023: 7909-7915 - [c159]Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer
:
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. ITSC 2023: 2118-2124 - [c158]Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
:
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC 2023: 4114-4120 - [c157]Anil Yildiz, Esen Yel
, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer
:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. IV 2023: 1-7 - [c156]Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer:
Model-based Validation as Probabilistic Inference. L4DC 2023: 825-837 - [c155]Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer:
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. NeurIPS 2023 - [c154]Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager:
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. NeurIPS 2023 - [i197]Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi:
Fast and Scalable Signal Inference for Active Robotic Source Seeking. CoRR abs/2301.02362 (2023) - [i196]Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Joel Burdick:
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments. CoRR abs/2302.03164 (2023) - [i195]Oriana Peltzer, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer:
Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions. CoRR abs/2303.03530 (2023) - [i194]Soyeon Jung, Mykel J. Kochenderfer:
Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures. CoRR abs/2303.09981 (2023) - [i193]Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. CoRR abs/2304.00645 (2023) - [i192]Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers:
Optimizing Carbon Storage Operations for Long-Term Safety. CoRR abs/2304.09352 (2023) - [i191]Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois:
Bayesian Safety Validation for Black-Box Systems. CoRR abs/2305.02449 (2023) - [i190]Ali Baheri, Mykel J. Kochenderfer:
Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. CoRR abs/2305.06111 (2023) - [i189]Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer:
Model-based Validation as Probabilistic Inference. CoRR abs/2305.09930 (2023) - [i188]Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. CoRR abs/2305.18633 (2023) - [i187]Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. CoRR abs/2306.00249 (2023) - [i186]Elysia Q. Smyers, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer:
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. CoRR abs/2306.11203 (2023) - [i185]Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer:
Deep Normalizing Flows for State Estimation. CoRR abs/2306.15605 (2023) - [i184]Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer:
Efficient Determination of Safety Requirements for Perception Systems. CoRR abs/2307.01371 (2023) - [i183]Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR abs/2307.10160 (2023) - [i182]Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer:
A Holistic Assessment of the Reliability of Machine Learning Systems. CoRR abs/2307.10586 (2023) - [i181]Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer:
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. CoRR abs/2309.06597 (2023) - [i180]Emiko Soroka, Mykel J. Kochenderfer, Sanjay Lall:
Satisfiability.jl: Satisfiability Modulo Theories in Julia. CoRR abs/2309.08778 (2023) - [i179]Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer:
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. CoRR abs/2309.12474 (2023) - [i178]Bernard Lange, Jiachen Li, Mykel J. Kochenderfer:
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. CoRR abs/2309.13893 (2023) - [i177]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. CoRR abs/2310.01723 (2023) - [i176]Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer:
Constrained Hierarchical Monte Carlo Belief-State Planning. CoRR abs/2310.20054 (2023) - [i175]Kyle Brown, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer:
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing. CoRR abs/2311.00192 (2023) - [i174]Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR abs/2311.16091 (2023) - 2022
- [j36]Shushman Choudhury
, Jayesh K. Gupta, Mykel J. Kochenderfer
, Dorsa Sadigh, Jeannette Bohg
:
Dynamic multi-robot task allocation under uncertainty and temporal constraints. Auton. Robots 46(1): 231-247 (2022) - [j35]Guy Katz
, Clark W. Barrett
, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
:
Reluplex: a calculus for reasoning about deep neural networks. Formal Methods Syst. Des. 60(1): 87-116 (2022) - [j34]Sydney M. Katz
, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer
:
Verification of Image-Based Neural Network Controllers Using Generative Models. J. Aerosp. Inf. Syst. 19(9): 574-584 (2022) - [j33]Shushman Choudhury
, Jayesh K. Gupta
, Peter Morales, Mykel J. Kochenderfer
:
Scalable Online Planning for Multi-Agent MDPs. J. Artif. Intell. Res. 73: 821-846 (2022) - [j32]Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer:
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems. J. Mach. Learn. Res. 23: 117:1-117:45 (2022) - [j31]Geoffrey Pettet
, Ayan Mukhopadhyay, Mykel J. Kochenderfer
, Abhishek Dubey:
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities. ACM Trans. Cyber Phys. Syst. 6(4): 32:1-32:26 (2022) - [j30]Raunak P. Bhattacharyya
, Soyeon Jung
, Liam A. Kruse
, Ransalu Senanayake, Mykel J. Kochenderfer
:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Trans. Intell. Transp. Syst. 23(8): 13055-13068 (2022) - [j29]Zachary Sunberg
, Mykel J. Kochenderfer
:
Improving Automated Driving Through POMDP Planning With Human Internal States. IEEE Trans. Intell. Transp. Syst. 23(11): 20073-20083 (2022) - [c153]Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer:
A Gray Box Model for Characterizing Driver Behavior. SafeAI@AAAI 2022 - [c152]Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI 2022: 7664-7671 - [c151]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. SafeAI@AAAI 2022 - [c150]Ann-Katrin Reuel, Mark Koren, Anthony Corso, Mykel J. Kochenderfer:
Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems. SafeAI@AAAI 2022 - [c149]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. AAMAS 2022: 272-280 - [c148]Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer:
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. AAMAS 2022: 1723-1725 - [c147]Masha Itkina, Mykel J. Kochenderfer:
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. CoRL 2022: 606-617 - [c146]John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor
, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. DSN Workshops 2022: 28-36 - [c145]Lisa J. Einstein, Robert J. Moss, Mykel J. Kochenderfer
:
Prioritizing emergency evacuations under compounding levels of uncertainty. GHTC 2022: 265-272 - [c144]Eric Luxenberg
, Stephen P. Boyd, Misha van Beek, Wen Cao, Mykel J. Kochenderfer:
Strategic Asset Allocation with Illiquid Alternatives. ICAIF 2022: 249-256 - [c143]Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer
:
Multi-Agent Variational Occlusion Inference Using People as Sensors. ICRA 2022: 4585-4591 - [c142]Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. ICRA 2022: 5511-5517 - [c141]Victoria Magdalena Dax, Mykel J. Kochenderfer
, Ransalu Senanayake, Umair Ibrahim:
Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. ICRA 2022: 5939-5945 - [c140]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract). IJCAI 2022: 5279-5283 - [c139]Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer
:
How Do We Fail? Stress Testing Perception in Autonomous Vehicles. IROS 2022: 5139-5146 - [c138]Muhammad Fadhil Ginting, Kyohei Otsu, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi:
Capability-Aware Task Allocation and Team Formation Analysis for Cooperative Exploration of Complex Environments. IROS 2022: 7145-7152 - [c137]Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott
, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer
, Mac Schwager
, Joel Burdick, Ali-akbar Agha-mohammadi:
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. IROS 2022: 8754-8761 - [c136]Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer
, Pieter Abbeel:
Multi-Objective Policy Gradients with Topological Constraints. IROS 2022: 9034-9039 - [c135]Maneekwan Toyungyernsub, Esen Yel
, Jiachen Li, Mykel J. Kochenderfer
:
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. IROS 2022: 10836-10841 - [c134]Amanda Bouman, Joshua Ott
, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer
, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Joel Burdick:
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments. IROS 2022: 11916-11923 - [c133]Liam A. Kruse, Esen Yel
, Ransalu Senanayake, Mykel J. Kochenderfer
:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. ITSC 2022: 1202-1207 - [c132]Samuel Low, Mykel J. Kochenderfer:
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints. L4DC 2022: 355-365 - [c131]Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
:
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. NFM 2022: 299-317 - [c130]Dylan M. Asmar, Mykel J. Kochenderfer:
Collaborative Decision Making Using Action Suggestions. NeurIPS 2022 - [c129]Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. NeurIPS 2022 - [c128]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. NeurIPS 2022 - [e1]Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer:
Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. Proceedings of Machine Learning Research 168, PMLR 2022 [contents] - [i173]Arec L. Jamgochian, Kunal Menda, Mykel J. Kochenderfer:
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. CoRR abs/2201.02718 (2022) - [i172]Arec L. Jamgochian, Di Wu, Kunal Menda, Soyeon Jung, Mykel J. Kochenderfer:
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand. CoRR abs/2201.02753 (2022) - [i171]Chelsea Sidrane, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer:
Verifying Inverse Model Neural Networks. CoRR abs/2202.02429 (2022) - [i170]Gabriel Maher, Stephen P. Boyd, Mykel John Kochenderfer, Cristian Matache, Alex Ulitsky, Slava Yukhymuk, Leonid Kopman:
A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer. CoRR abs/2202.07735 (2022) - [i169]Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. CoRR abs/2203.02844 (2022) - [i168]Christopher Lazarus, Mykel J. Kochenderfer:
Deep Binary Reinforcement Learning for Scalable Verification. CoRR abs/2203.05704 (2022) - [i167]Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer, Mac Schwager, Joel Burdick, Ali-akbar Agha-mohammadi:
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. CoRR abs/2203.06316 (2022) - [i166]Christopher Lazarus, Mykel J. Kochenderfer:
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks. CoRR abs/2203.07078 (2022) - [i165]Harrison Delecki, Masha Itkina, Bernard Lange, Ransalu Senanayake, Mykel J. Kochenderfer:
How Do We Fail? Stress Testing Perception in Autonomous Vehicles. CoRR abs/2203.14155 (2022) - [i164]Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer:
Model Predictive Optimized Path Integral Strategies. CoRR abs/2203.16633 (2022) - [i163]Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer:
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. CoRR abs/2204.01922 (2022) - [i162]Sydney M. Katz, Luis E. Alvarez, Michael P. Owen, Samuel Wu, Marc Brittain, Anshuman Das, Mykel J. Kochenderfer:
Collision Risk and Operational Impact of Speed Change Advisories as Aircraft Collision Avoidance Maneuvers. CoRR abs/2204.14250 (2022) - [i161]Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. CoRR abs/2205.10677 (2022) - [i160]Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park:
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. CoRR abs/2206.00694 (2022) - [i159]Bertrand Charpentier, Ransalu Senanayake, Mykel J. Kochenderfer, Stephan Günnemann:
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning. CoRR abs/2206.01558 (2022) - [i158]Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. CoRR abs/2207.05228 (2022) - [i157]Eric Luxenberg, Stephen P. Boyd, Mykel J. Kochenderfer, Misha van Beek, Wen Cao, Steven Diamond, Alex Ulitsky, Kunal Menda, Vidy Vairavamurthy:
Strategic Asset Allocation with Illiquid Alternatives. CoRR abs/2207.07767 (2022) - [i156]Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer:
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. CoRR abs/2208.05470 (2022) - [i155]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. CoRR abs/2208.10660 (2022) - [i154]Joshua Ott, Sung-Kyun Kim, Amanda Bouman, Oriana Peltzer, Mamoru Sobue, Harrison Delecki, Mykel J. Kochenderfer, Joel Burdick, Ali-akbar Agha-mohammadi:
Risk-aware Meta-level Decision Making for Exploration Under Uncertainty. CoRR abs/2209.05580 (2022) - [i153]Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel:
Multi-Objective Policy Gradients with Topological Constraints. CoRR abs/2209.07096 (2022) - [i152]Joshua Ott, Edward Balaban, Mykel J. Kochenderfer:
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. CoRR abs/2209.07660 (2022) - [i151]Dylan M. Asmar, Mykel J. Kochenderfer:
Collaborative Decision Making Using Action Suggestions. CoRR abs/2209.13160 (2022) - [i150]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. CoRR abs/2209.13172 (2022) - [i149]Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How:
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR abs/2209.14076 (2022) - [i148]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
LOPR: Latent Occupancy PRediction using Generative Models. CoRR abs/2210.01249 (2022) - [i147]Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg:
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation. CoRR abs/2210.05015 (2022) - [i146]Lisa J. Einstein, Robert J. Moss, Mykel J. Kochenderfer:
Prioritizing emergency evacuations under compounding levels of uncertainty. CoRR abs/2210.08975 (2022) - [i145]Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer:
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. CoRR abs/2210.17540 (2022) - [i144]Masha Itkina, Mykel J. Kochenderfer:
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. CoRR abs/2211.08701 (2022) - [i143]Anthony Corso, Kyu-Young Kim, Shubh Gupta, Grace Gao, Mykel J. Kochenderfer:
A Deep Reinforcement Learning Approach to Rare Event Estimation. CoRR abs/2211.12470 (2022) - [i142]Anthony Corso, Yizheng Wang, Markus Zechner, Jef Caers, Mykel J. Kochenderfer:
A POMDP Model for Safe Geological Carbon Sequestration. CoRR abs/2212.00669 (2022) - [i141]Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer:
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. CoRR abs/2212.12154 (2022) - [i140]Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. CoRR abs/2212.14118 (2022) - 2021
- [j28]Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer
:
Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. 4(3-4): 244-404 (2021) - [j27]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer
, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery using Transit Networks. J. Artif. Intell. Res. 70: 757-788 (2021) - [j26]Anthony Corso, Robert J. Moss
, Mark Koren, Ritchie Lee
, Mykel J. Kochenderfer
:
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems. J. Artif. Intell. Res. 72: 377-428 (2021) - [j25]Nicholas Moehle, Mykel J. Kochenderfer
, Stephen P. Boyd, Andrew Ang:
Tax-Aware Portfolio Construction via Convex Optimization. J. Optim. Theory Appl. 189(2): 364-383 (2021) - [j24]Patrick Slade
, Arjun Tambe
, Mykel J. Kochenderfer
:
Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision. Sci. Robotics 6(59) (2021) - [c127]Anthony Corso, Mykel J. Kochenderfer:
Transfer Learning for Efficient Iterative Safety Validation. AAAI 2021: 7125-7132 - [c126]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. AAAI 2021: 11880-11887 - [c125]John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. AAAI 2021: 11888-11894 - [c124]Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs. AAMAS 2021: 341-349 - [c123]Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer:
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. AAMAS 2021: 764-772 - [c122]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical planning for resource allocation in emergency response systems. ICCPS 2021: 155-166 - [c121]Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters:
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. ICMLA 2021: 582-588 - [c120]Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer
, David Isele, Kikuo Fujimura:
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. ICRA 2021: 6064-6071 - [c119]Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer
:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. ICRA 2021: 13931-13937 - [c118]Christopher Lazarus, Mykel J. Kochenderfer:
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks. AISafety@IJCAI 2021 - [c117]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer
:
Attention Augmented ConvLSTM for Environment Prediction. IROS 2021: 1346-1353 - [c116]Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer
:
3D Radar Velocity Maps for Uncertain Dynamic Environments. IROS 2021: 4854-4860 - [c115]Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer
:
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm. IROS 2021: 5944-5949 - [c114]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
:
Out-of-Distribution Detection for Automotive Perception. ITSC 2021: 2938-2943 - [c113]Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. NeurIPS 2021: 11565-11576 - [c112]Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel J. Kochenderfer, Ross D. Shachter, Abhishek Dubey:
WildfireDB: An Open-Source Dataset Connecting Wildfire Occurrence with Relevant Determinants. NeurIPS Datasets and Benchmarks 2021 - [d9]Duncan Eddy
, Mykel J. Kochenderfer
:
Maximum Independent Set Satellite Scheduling World Cities Data Set. Zenodo, 2021 - [d8]Andrew Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards:
Airspace-Encounter-Models/em-model-manned-bayes: March 2021 - OpenSky Updates. Version v1.3. Zenodo, 2021 [all versions] - [d7]Andrew J. Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards, Bilal Gill, Randal Guendel, Christine Serres
, Ngaire Underhill
:
Airspace-Encounter-Models/em-model-manned-bayes: July 2021 - Terminal Model and Improved Performance. Version v1.4. Zenodo, 2021 [all versions] - [d6]Andrew J. Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards, Bilal Gill, Randal Guendel, Christine Serres
, Ngaire Underhill
:
Airspace-Encounter-Models/em-model-manned-bayes: October 2021. Version v2.0.0. Zenodo, 2021 [all versions] - [d5]Andrew J. Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards, Bilal Gill, Randal Guendel, Christine Serres
, Ngaire Underhill
:
Airspace-Encounter-Models/em-model-manned-bayes: October 2021. Version v2.1.0. Zenodo, 2021 [all versions] - [i139]Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs. CoRR abs/2101.04788 (2021) - [i138]Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. CoRR abs/2102.12550 (2021) - [i137]Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer:
Generating Probabilistic Safety Guarantees for Neural Network Controllers. CoRR abs/2103.01203 (2021) - [i136]Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer:
Preference-based Learning of Reward Function Features. CoRR abs/2103.02727 (2021) - [i135]Kunal Menda, Jayesh K. Gupta, Zachary Manchester, Mykel J. Kochenderfer:
Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual. CoRR abs/2105.01811 (2021) - [i134]Sydney M. Katz, Anthony L. Corso, Christopher A. Strong, Mykel J. Kochenderfer:
Verification of Image-based Neural Network Controllers Using Generative Models. CoRR abs/2105.07091 (2021) - [i133]John Mern, Mykel J. Kochenderfer:
Measurable Monte Carlo Search Error Bounds. CoRR abs/2106.04715 (2021) - [i132]Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer:
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. CoRR abs/2106.05325 (2021) - [i131]John Mern, Kyle Hatch, Ryan Silva, Jeff Brush, Mykel J. Kochenderfer:
Reinforcement Learning for Industrial Control Network Cyber Security Orchestration. CoRR abs/2106.05332 (2021) - [i130]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical Planning for Dynamic Resource Allocation in Smart and Connected Communities. CoRR abs/2107.01292 (2021) - [i129]Ransalu Senanayake, Kyle Beltran Hatch, Jason Zheng, Mykel J. Kochenderfer:
3D Radar Velocity Maps for Uncertain Dynamic Environments. CoRR abs/2107.11039 (2021) - [i128]Mark Koren, Ahmed Nassar, Mykel J. Kochenderfer:
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward Algorithm. CoRR abs/2107.12940 (2021) - [i127]Chelsea Sidrane, Amir Maleki, Ahmed Irfan, Mykel J. Kochenderfer:
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems. CoRR abs/2108.01220 (2021) - [i126]Raunak P. Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel J. Kochenderfer:
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering. CoRR abs/2108.12820 (2021) - [i125]Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. CoRR abs/2109.02173 (2021) - [i124]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. CoRR abs/2109.08180 (2021) - [i123]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. CoRR abs/2110.08802 (2021) - [i122]Phil Chen, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models. CoRR abs/2110.14182 (2021) - [i121]John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer:
Autonomous Attack Mitigation for Industrial Control Systems. CoRR abs/2111.02445 (2021) - [i120]Liam A. Kruse, Allan L. Reiss, Mykel J. Kochenderfer, Stephanie Balters:
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data. CoRR abs/2112.03911 (2021) - 2020
- [j23]Bohan Wu, Jayesh K. Gupta
, Mykel J. Kochenderfer
:
Model primitives for hierarchical lifelong reinforcement learning. Auton. Agents Multi Agent Syst. 34(1): 28 (2020) - [j22]Patrick Slade
, Zachary N. Sunberg
, Mykel J. Kochenderfer
:
Estimation and control using sampling-based Bayesian reinforcement learning. IET Cyper-Phys. Syst.: Theory & Appl. 5(1): 127-135 (2020) - [j21]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. J. Artif. Intell. Res. 69: 1165-1201 (2020) - [j20]Carl-Johan Hoel
, Katherine Rose Driggs-Campbell
, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. IEEE Trans. Intell. Veh. 5(2): 294-305 (2020) - [c111]Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. AAAI 2020: 10061-10068 - [c110]Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer:
Uncertainty Aware Wildfire Management. AI4SG@AAAI Fall Symposium 2020 - [c109]Ayan Mukhopadhyay, Geoffrey Pettet, Mykel J. Kochenderfer, Abhishek Dubey:
Designing Emergency Response Pipelines : Lessons and Challenges. AI4SG@AAAI Fall Symposium 2020 - [c108]Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer:
Adaptive Informative Path Planning with Multimodal Sensing. ICAPS 2020: 57-65 - [c107]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer
:
Online Parameter Estimation for Human Driver Behavior Prediction. ACC 2020: 301-306 - [c106]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer
:
Exchangeable Input Representations for Reinforcement Learning. ACC 2020: 3971-3976 - [c105]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. AAMAS 2020: 1046-1054 - [c104]Nate Gruver, Jiaming Song, Mykel J. Kochenderfer, Stefano Ermon:
Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables. AAMAS 2020: 1855-1857 - [c103]Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer:
Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems. AAMAS 2020: 1916-1918 - [c102]Xiaobai Ma
, Jayesh K. Gupta
, Mykel J. Kochenderfer
:
Normalizing Flow Policies for Multi-agent Systems. GameSec 2020: 277-296 - [c101]Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester:
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. ICML 2020: 6830-6840 - [c100]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. ICML 2020: 10978-10989 - [c99]Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer
:
Reinforcement Learning for Adaptive Illumination with X-rays. ICRA 2020: 328-334 - [c98]Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer
:
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning. ICRA 2020: 441-447 - [c97]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer
, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. ICRA 2020: 4543-4550 - [c96]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC 2020: 1-6 - [c95]Anthony Corso, Mykel J. Kochenderfer
:
Interpretable Safety Validation for Autonomous Vehicles. ITSC 2020: 1-6 - [c94]Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer
:
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition. ITSC 2020: 1-6 - [c93]Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer
:
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. ITSC 2020: 1-7 - [c92]Mark Koren, Mykel J. Kochenderfer
:
Adaptive Stress Testing without Domain Heuristics using Go-Explore. ITSC 2020: 1-6 - [c91]Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer
, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. ITSC 2020: 1-6 - [c90]Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
Structured Mechanical Models for Robot Learning and Control. L4DC 2020: 328-337 - [c89]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. NeurIPS 2020 - [c88]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. NeurIPS 2020 - [c87]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. NeurIPS 2020 - [c86]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. Robotics: Science and Systems 2020 - [c85]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. Robotics: Science and Systems 2020 - [c84]Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik:
Robust Spatial-Temporal Incident Prediction. UAI 2020: 360-369 - [d4]Kunal Menda
, Jean de Becdelièvre, Jayesh K. Gupta
, Ilan Kroo, Mykel John Kochenderfer
, Zachary Manchester
:
Normalized Stanford Helicopter Dataset. Zenodo, 2020 - [d3]Andrew Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards:
Airspace-Encounter-Models/em-model-manned-bayes: Initial public release. Version v1.0. Zenodo, 2020 [all versions] - [d2]Andrew Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards:
Airspace-Encounter-Models/em-model-manned-bayes: Additional models added + minor updates. Version v1.1. Zenodo, 2020 [all versions] - [d1]Andrew Weinert
, Mykel J. Kochenderfer
, Matthew W. M. Edwards:
Airspace-Encounter-Models/em-model-manned-bayes: BSD-2 License. Version v1.2. Zenodo, 2020 [all versions] - [i119]Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. CoRR abs/2001.03809 (2020) - [i118]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. CoRR abs/2001.07362 (2020) - [i117]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. CoRR abs/2003.00153 (2020) - [i116]Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer:
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. CoRR abs/2003.02381 (2020) - [i115]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. CoRR abs/2003.09022 (2020) - [i114]Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer:
Adaptive Informative Path Planning with Multimodal Sensing. CoRR abs/2003.09746 (2020) - [i113]Mark Koren, Mykel J. Kochenderfer:
Adaptive Stress Testing without Domain Heuristics using Go-Explore. CoRR abs/2004.04292 (2020) - [i112]Mark Koren, Anthony Corso, Mykel J. Kochenderfer:
The Adaptive Stress Testing Formulation. CoRR abs/2004.04293 (2020) - [i111]Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer:
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition. CoRR abs/2004.06801 (2020) - [i110]Anthony Corso, Mykel J. Kochenderfer:
Interpretable Safety Validation for Autonomous Vehicles. CoRR abs/2004.06805 (2020) - [i109]Oriana Peltzer, Kyle Brown, Mac Schwager, Mykel J. Kochenderfer, Martin A. Sehr:
STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times. CoRR abs/2004.08025 (2020) - [i108]Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
Structured Mechanical Models for Robot Learning and Control. CoRR abs/2004.10301 (2020) - [i107]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR abs/2005.02575 (2020) - [i106]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. CoRR abs/2005.02597 (2020) - [i105]Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer:
A Survey of Algorithms for Black-Box Safety Validation. CoRR abs/2005.02979 (2020) - [i104]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR abs/2005.11895 (2020) - [i103]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. CoRR abs/2005.13109 (2020) - [i102]Zachary Sunberg, Mykel J. Kochenderfer:
Improving Automated Driving through Planning with Human Internal States. CoRR abs/2005.14549 (2020) - [i101]Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade, Yevgeniy Vorobeychik, Mykel J. Kochenderfer, Abhishek Dubey:
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models. CoRR abs/2006.04200 (2020) - [i100]Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer:
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning. CoRR abs/2006.06412 (2020) - [i99]Kyle Brown, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Modeling and Prediction of Human Driver Behavior: A Survey. CoRR abs/2006.08832 (2020) - [i98]Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer:
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning. CoRR abs/2006.08845 (2020) - [i97]John Mern, Peter Morales, Mykel J. Kochenderfer:
Towards Recurrent Autoregressive Flow Models. CoRR abs/2006.10096 (2020) - [i96]Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer:
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. CoRR abs/2006.11438 (2020) - [i95]Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester:
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. CoRR abs/2006.11615 (2020) - [i94]Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. CoRR abs/2007.00161 (2020) - [i93]Sheng Li, Maxim Egorov, Mykel J. Kochenderfer:
Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations. CoRR abs/2008.05535 (2020) - [i92]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. CoRR abs/2008.07737 (2020) - [i91]Duncan Eddy, Mykel J. Kochenderfer:
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations. CoRR abs/2008.08446 (2020) - [i90]Christopher A. Strong, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer:
Global Optimization of Objective Functions Represented by ReLU Networks. CoRR abs/2010.03258 (2020) - [i89]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. CoRR abs/2010.03597 (2020) - [i88]John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR abs/2010.03599 (2020) - [i87]Ayan Mukhopadhyay, Geoffrey Pettet, Mykel J. Kochenderfer, Abhishek Dubey:
Designing Emergency Response Pipelines : Lessons and Challenges. CoRR abs/2010.07504 (2020) - [i86]Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay
, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer:
Uncertainty Aware Wildfire Management. CoRR abs/2010.07915 (2020) - [i85]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. CoRR abs/2010.09164 (2020) - [i84]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
Attention Augmented ConvLSTM forEnvironment Prediction. CoRR abs/2010.09662 (2020) - [i83]Christopher Lazarus, James G. Lopez, Mykel J. Kochenderfer:
Runtime Safety Assurance Using Reinforcement Learning. CoRR abs/2010.10618 (2020) - [i82]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. CoRR abs/2010.16418 (2020) - [i81]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. CoRR abs/2011.01413 (2020) - [i80]Robert J. Moss, Ritchie Lee, Nicholas Visser, Joachim Hochwarth, James G. Lopez, Mykel J. Kochenderfer:
Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems. CoRR abs/2011.02559 (2020) - [i79]Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura:
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. CoRR abs/2011.04251 (2020) - [i78]Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. CoRR abs/2011.09045 (2020) - [i77]Kyle Hatch, John Mern, Mykel J. Kochenderfer:
Obstacle Avoidance Using a Monocular Camera. CoRR abs/2012.01608 (2020) - [i76]Anthony Corso, Mykel J. Kochenderfer:
Transfer Learning for Efficient Iterative Safety Validation. CoRR abs/2012.05336 (2020) - [i75]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical Planning for Resource Allocation in Emergency Response Systems. CoRR abs/2012.13300 (2020)
2010 – 2019
- 2019
- [j19]Maxime Bouton
, Kyle D. Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
:
Decomposition methods with deep corrections for reinforcement learning. Auton. Agents Multi Agent Syst. 33(3): 330-352 (2019) - [j18]Louis Dressel, Mykel J. Kochenderfer
:
Tutorial on the generation of ergodic trajectories with projection-based gradient descent. IET Cyper-Phys. Syst.: Theory & Appl. 4(2): 89-100 (2019) - [j17]Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer
:
Unifying System Health Management and Automated Decision Making. J. Artif. Intell. Res. 65: 487-518 (2019) - [j16]Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer
, Jeremy Morton, Liqian Peng, Freddie D. Witherden:
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. J. Comput. Phys. 395: 105-124 (2019) - [j15]Kunal Menda
, Yi-Chun Chen
, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer
, David H. Wolpert:
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. 20(4): 1259-1268 (2019) - [j14]Shane T. Barratt
, Mykel J. Kochenderfer
, Stephen P. Boyd:
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data. IEEE Trans. Intell. Transp. Syst. 20(9): 3536-3545 (2019) - [j13]Sarah M. Thornton
, Benjamin Limonchik, Francis E. Lewis, Mykel J. Kochenderfer
, J. Christian Gerdes:
Toward Closing the Loop on Human Values. IEEE Trans. Intell. Veh. 4(3): 437-446 (2019) - [c83]Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. AAMAS 2019: 34-42 - [c82]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangability in Reinforcement Learning. AAMAS 2019: 2126-2128 - [c81]Guy Katz, Derek A. Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu
, Aleksandar Zeljic, David L. Dill, Mykel J. Kochenderfer, Clark W. Barrett
:
The Marabou Framework for Verification and Analysis of Deep Neural Networks. CAV (1) 2019: 443-452 - [c80]Arec L. Jamgochian, Mykel J. Kochenderfer
:
Stochastic Model Predictive Control for Scheduling Charging of Electric Vehicle Fleets with Market Power. ICCVE 2019: 1-6 - [c79]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA 2019: 789-795 - [c78]Louis Dressel, Mykel J. Kochenderfer
:
Hunting Drones with Other Drones: Tracking a Moving Radio Target. ICRA 2019: 1905-1912 - [c77]Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
:
HG-DAgger: Interactive Imitation Learning with Human Experts. ICRA 2019: 8077-8083 - [c76]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. IJCAI 2019: 3116-3122 - [c75]Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. IJCAI 2019: 3173-3179 - [c74]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
:
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. IROS 2019: 5041-5048 - [c73]Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio. ITSC 2019: 163-168 - [c72]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. ITSC 2019: 2052-2059 - [c71]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
:
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. ITSC 2019: 3441-3447 - [c70]Mark Koren, Mykel J. Kochenderfer
:
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing. ITSC 2019: 4178-4183 - [c69]Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer
, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. IV 2019: 1054-1060 - [c68]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. IV 2019: 1469-1476 - [c67]Tim Allan Wheeler, Mykel J. Kochenderfer
:
Critical Factor Graph Situation Clusters for Accelerated Automotive Safety Validation. IV 2019: 2133-2139 - [c66]Shushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer
:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. IV 2019: 2397-2404 - [c65]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Limiting Extrapolation in Linear Approximate Value Iteration. NeurIPS 2019: 5616-5625 - [c64]Andrea Zanette, Mykel J. Kochenderfer, Emma Brunskill:
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model. NeurIPS 2019: 5626-5635 - [i74]Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer:
Real-time Prediction of Automotive Collision Risk from Monocular Video. CoRR abs/1902.01293 (2019) - [i73]Shushman Choudhury, Mykel J. Kochenderfer:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. CoRR abs/1902.01560 (2019) - [i72]Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer:
Adaptive Stress Testing for Autonomous Vehicles. CoRR abs/1902.01909 (2019) - [i71]Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
A General Framework for Structured Learning of Mechanical Systems. CoRR abs/1902.08705 (2019) - [i70]Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. CoRR abs/1902.09742 (2019) - [i69]Kyle D. Julian, Mykel J. Kochenderfer:
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers. CoRR abs/1903.00520 (2019) - [i68]Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer:
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. CoRR abs/1903.00762 (2019) - [i67]Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. CoRR abs/1903.01567 (2019) - [i66]Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. CoRR abs/1903.03642 (2019) - [i65]Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer:
Rethinking System Health Management. CoRR abs/1903.03948 (2019) - [i64]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR abs/1903.05766 (2019) - [i63]Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. CoRR abs/1903.06758 (2019) - [i62]Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova:
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. CoRR abs/1904.07189 (2019) - [i61]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. CoRR abs/1904.11483 (2019) - [i60]Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. CoRR abs/1904.11566 (2019) - [i59]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. CoRR abs/1904.12374 (2019) - [i58]Duncan Eddy, Mykel J. Kochenderfer:
Satellite Image Tasking Under Orbit Prediction Uncertainty. CoRR abs/1905.01417 (2019) - [i57]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. CoRR abs/1905.02680 (2019) - [i56]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangeability in Reinforcement Learning: Extended Abstract. CoRR abs/1905.02698 (2019) - [i55]Shushman Choudhury, Mykel J. Kochenderfer:
Hybrid Planning for Dynamic Multimodal Stochastic Shortest Paths. CoRR abs/1906.09094 (2019) - [i54]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. CoRR abs/1906.11021 (2019) - [i53]Sydney M. Katz, Anne-Claire Le Bihan, Mykel J. Kochenderfer:
Learning an Urban Air Mobility Encounter Model from Expert Preferences. CoRR abs/1907.05575 (2019) - [i52]Mark Koren, Mykel J. Kochenderfer:
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing. CoRR abs/1907.06795 (2019) - [i51]Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer:
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning. CoRR abs/1908.01022 (2019) - [i50]Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. CoRR abs/1908.01046 (2019) - [i49]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. CoRR abs/1909.11840 (2019) - [i48]Duncan Eddy, Mykel J. Kochenderfer:
Markov Decision Processes For Multi-Objective Satellite Task Planning. CoRR abs/1910.08419 (2019) - [i47]Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows. CoRR abs/1912.06752 (2019) - [i46]Kyle D. Julian, Mykel J. Kochenderfer:
Guaranteeing Safety for Neural Network-Based Aircraft Collision Avoidance Systems. CoRR abs/1912.07084 (2019) - [i45]Sheng Li, Maxim Egorov, Mykel J. Kochenderfer:
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning. CoRR abs/1912.10146 (2019) - [i44]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte-Carlo Tree Search for Policy Optimization. CoRR abs/1912.10648 (2019) - 2018
- [j12]Rachael E. Tompa, Blake Wulfe, Mykel J. Kochenderfer
, Michael P. Owen:
Horizontal Maneuver Coordination for Aircraft Collision-Avoidance Systems. J. Aerosp. Inf. Syst. 15(2): 92-106 (2018) - [j11]Jeremy Morton
, Tim Allan Wheeler
, Mykel J. Kochenderfer
:
Closed-Loop Policies for Operational Tests of Safety-Critical Systems. IEEE Trans. Intell. Veh. 3(3): 317-328 (2018) - [c63]Zachary N. Sunberg, Mykel J. Kochenderfer:
Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces. ICAPS 2018: 259-263 - [c62]Louis Dressel, Mykel J. Kochenderfer
:
On the Optimality of Ergodic Trajectories for Information Gathering Tasks. ACC 2018: 1855-1861 - [c61]Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. AAMAS 2018: 462-469 - [c60]Alex Kuefler, Mykel J. Kochenderfer:
Burn-In Demonstrations for Multi-Modal Imitation Learning. AAMAS 2018: 1071-1078 - [c59]Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer:
Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk. AAMAS 2018: 1087-1096 - [c58]Pol Rosello, Mykel J. Kochenderfer:
Multi-Agent Reinforcement Learning for Multi-Object Tracking. AAMAS 2018: 1397-1404 - [c57]Louis Dressel, Mykel J. Kochenderfer
:
Using Neural Networks to Generate Information Maps for Mobile Sensors. CDC 2018: 2555-2560 - [c56]Rui Shu, Shengjia Zhao, Mykel J. Kochenderfer:
Rethinking Style and Content Disentanglement in Variational Autoencoders. ICLR (Workshop) 2018 - [c55]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
:
Scalable Decision Making with Sensor Occlusions for Autonomous Driving. ICRA 2018: 2076-2081 - [c54]Louis Dressel, Mykel J. Kochenderfer
:
Pseudo-bearing Measurements for Improved Localization of Radio Sources with Multirotor UAVs. ICRA 2018: 6560-6565 - [c53]Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer
:
Multi-Agent Imitation Learning for Driving Simulation. IROS 2018: 1534-1539 - [c52]Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer
, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. IROS 2018: 2342-2348 - [c51]Yi-Chun Chen, Mykel J. Kochenderfer
, Matthijs T. J. Spaan:
Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors. IROS 2018: 3531-3536 - [c50]Julie M. Walker, Allison M. Okamura, Mykel J. Kochenderfer
:
Gaussian Process Dynamic Programming for Optimizing Ungrounded Haptic Guidance. IROS 2018: 8758-8764 - [c49]Changliu Liu, Mykel J. Kochenderfer
:
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. ITSC 2018: 2352-2357 - [c48]Chelsea Sidrane, Mykel J. Kochenderfer
:
Closed-Loop Planning for Disaster Evacuation with Stochastic Arrivals. ITSC 2018: 2544-2549 - [c47]Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer
:
Adaptive Stress Testing for Autonomous Vehicles. Intelligent Vehicles Symposium 2018: 1-7 - [c46]Sarah M. Thornton, Francis E. Lewis, Vivian Zhang, Mykel J. Kochenderfer
, J. Christian Gerdes:
Value Sensitive Design for Autonomous Vehicle Motion Planning. Intelligent Vehicles Symposium 2018: 1157-1162 - [c45]Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
:
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. Intelligent Vehicles Symposium 2018: 1665-1671 - [c44]Ekhlas Sonu, Zachary Sunberg, Mykel J. Kochenderfer
:
Exploiting Hierarchy for Scalable Decision Making in Autonomous Driving. Intelligent Vehicles Symposium 2018: 2203-2208 - [c43]Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon:
Amortized Inference Regularization. NeurIPS 2018: 4398-4407 - [c42]Jeremy Morton, Antony Jameson, Mykel J. Kochenderfer, Freddie D. Witherden:
Deep Dynamical Modeling and Control of Unsteady Fluid Flows. NeurIPS 2018: 9278-9288 - [c41]Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
:
Robust Super-Level Set Estimation Using Gaussian Processes. ECML/PKDD (2) 2018: 276-291 - [c40]Ritchie Lee, Mykel J. Kochenderfer
, Ole J. Mengshoel, Joshua Silbermann:
Interpretable Categorization of Heterogeneous Time Series Data. SDM 2018: 216-224 - [i43]Lindsey Kuper, Guy Katz, Justin Gottschlich, Kyle Julian, Clark W. Barrett, Mykel J. Kochenderfer:
Toward Scalable Verification for Safety-Critical Deep Networks. CoRR abs/1801.05950 (2018) - [i42]Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer:
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk. CoRR abs/1802.01532 (2018) - [i41]Maxime Bouton, Kyle Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty. CoRR abs/1802.01772 (2018) - [i40]John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer:
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. CoRR abs/1802.06920 (2018) - [i39]Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer:
Multi-Agent Imitation Learning for Driving Simulation. CoRR abs/1803.01044 (2018) - [i38]Changliu Liu, Mykel J. Kochenderfer:
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. CoRR abs/1804.04746 (2018) - [i37]Jeremy Morton, Freddie D. Witherden, Antony Jameson, Mykel J. Kochenderfer:
Deep Dynamical Modeling and Control of Unsteady Fluid Flows. CoRR abs/1805.07472 (2018) - [i36]Rui Shu, Hung H. Bui, Shengjia Zhao, Mykel J. Kochenderfer, Stefano Ermon:
Amortized Inference Regularization. CoRR abs/1805.08913 (2018) - [i35]Changliu Liu, Mykel J. Kochenderfer:
Analyzing Traffic Delay at Unmanaged Intersections. CoRR abs/1806.02660 (2018) - [i34]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR abs/1807.08364 (2018) - [i33]Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer:
Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning. CoRR abs/1808.00888 (2018) - [i32]Louis Dressel, Mykel J. Kochenderfer:
Efficient and Low-cost Localization of Radio Signals with a Multirotor UAV. CoRR abs/1808.04438 (2018) - [i31]Louis Dressel, Mykel J. Kochenderfer:
On the Optimality of Ergodic Trajectories for Information Gathering Tasks. CoRR abs/1808.06652 (2018) - [i30]Louis Dressel, Mykel J. Kochenderfer:
Using Neural Networks to Generate Information Maps for Mobile Sensors. CoRR abs/1809.10012 (2018) - [i29]Kyle D. Julian, Mykel J. Kochenderfer:
Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction. CoRR abs/1810.02455 (2018) - [i28]Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
HG-DAgger: Interactive Imitation Learning with Human Experts. CoRR abs/1810.02890 (2018) - [i27]Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen:
Deep Neural Network Compression for Aircraft Collision Avoidance Systems. CoRR abs/1810.04240 (2018) - [i26]Kyle D. Julian, Mykel J. Kochenderfer:
Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning. CoRR abs/1810.04244 (2018) - [i25]Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd:
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data. CoRR abs/1810.09568 (2018) - [i24]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Failure Events with Reinforcement Learning. CoRR abs/1811.02188 (2018) - [i23]Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer:
Robust Super-Level Set Estimation using Gaussian Processes. CoRR abs/1811.09977 (2018) - [i22]Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer, Jeremy Morton, Liqian Peng, Freddie D. Witherden:
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. CoRR abs/1812.01177 (2018) - [i21]John Mern, Kyle Julian, Rachael E. Tompa, Mykel J. Kochenderfer:
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks. CoRR abs/1812.04082 (2018) - 2017
- [j10]Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta
, Mykel J. Kochenderfer
, Velibor V. Misic:
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. Eur. J. Oper. Res. 263(2): 664-678 (2017) - [j9]Yi-Chun Chen
, Tim Allan Wheeler, Mykel J. Kochenderfer
:
Learning Discrete Bayesian Networks from Continuous Data. J. Artif. Intell. Res. 59: 103-132 (2017) - [j8]Maxim Egorov, Zachary N. Sunberg, Edward Balaban, Tim Allan Wheeler, Jayesh K. Gupta, Mykel J. Kochenderfer:
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty. J. Mach. Learn. Res. 18: 26:1-26:5 (2017) - [j7]Zouhair Mahboubi, Mykel J. Kochenderfer
:
Learning Traffic Patterns at Small Airports From Flight Tracks. IEEE Trans. Intell. Transp. Syst. 18(4): 917-926 (2017) - [j6]Jeremy Morton
, Tim Allan Wheeler, Mykel J. Kochenderfer
:
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior. IEEE Trans. Intell. Transp. Syst. 18(5): 1289-1298 (2017) - [c39]Louis Dressel, Mykel J. Kochenderfer:
Efficient Decision-Theoretic Target Localization. ICAPS 2017: 70-78 - [c38]Zachary N. Sunberg
, Christopher J. Ho, Mykel J. Kochenderfer
:
The value of inferring the internal state of traffic participants for autonomous freeway driving. ACC 2017: 3004-3010 - [c37]Jayesh K. Gupta, Maxim Egorov, Mykel J. Kochenderfer:
Cooperative Multi-agent Control Using Deep Reinforcement Learning. AAMAS Workshops (Selected Papers) 2017: 66-83 - [c36]Guy Katz, Clark W. Barrett
, David L. Dill, Kyle Julian, Mykel J. Kochenderfer:
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks. CAV (1) 2017: 97-117 - [c35]Alex Kuefler, Mykel J. Kochenderfer, James L. McClelland:
Geometric Concept Acquisition in a Dueling Deep Q-Network. CogSci 2017 - [c34]Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer
:
Weighted Double Q-learning. IJCAI 2017: 3455-3461 - [c33]Patrick Slade, Preston Culbertson, Zachary Sunberg
, Mykel J. Kochenderfer:
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. IROS 2017: 804-810 - [c32]Jeremy Morton, Mykel J. Kochenderfer
:
Simultaneous policy learning and latent state inference for imitating driver behavior. ITSC 2017: 1-6 - [c31]Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel J. Kochenderfer
:
Deep stochastic radar models. Intelligent Vehicles Symposium 2017: 47-53 - [c30]Alex Kuefler, Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer
:
Imitating driver behavior with generative adversarial networks. Intelligent Vehicles Symposium 2017: 204-211 - [c29]Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer
:
Belief state planning for autonomously navigating urban intersections. Intelligent Vehicles Symposium 2017: 825-830 - [c28]Derek J. Phillips, Tim Allan Wheeler, Mykel J. Kochenderfer
:
Generalizable intention prediction of human drivers at intersections. Intelligent Vehicles Symposium 2017: 1665-1670 - [c27]John Mern, Jayesh K. Gupta, Mykel J. Kochenderfer
:
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures. SSCI 2017: 1-8 - [c26]Youngjun Kim, Yonatan Gur, Mykel J. Kochenderfer
:
Heuristics for planning with rare catastrophic events. WSC 2017: 3030-3041 - [c25]Guy Katz, Clark W. Barrett
, David L. Dill, Kyle Julian, Mykel J. Kochenderfer:
Towards Proving the Adversarial Robustness of Deep Neural Networks. FVAV@iFM 2017: 19-26 - [i20]Alex Kuefler, Jeremy Morton, Tim Allan Wheeler, Mykel John Kochenderfer:
Imitating Driver Behavior with Generative Adversarial Networks. CoRR abs/1701.06699 (2017) - [i19]Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel J. Kochenderfer:
Deep Stochastic Radar Models. CoRR abs/1701.09180 (2017) - [i18]Zachary Sunberg, Christopher Ho, Mykel J. Kochenderfer:
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving. CoRR abs/1702.00858 (2017) - [i17]Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer:
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks. CoRR abs/1702.01135 (2017) - [i16]Maxime Bouton, Akansel Cosgun, Mykel J. Kochenderfer:
Belief State Planning for Autonomously Navigating Urban Intersections. CoRR abs/1704.04322 (2017) - [i15]Jeremy Morton, Mykel J. Kochenderfer:
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior. CoRR abs/1704.05566 (2017) - [i14]Jeremy Morton, Tim Allan Wheeler, Mykel J. Kochenderfer:
Optimal Testing of Self-Driving Cars. CoRR abs/1707.08234 (2017) - [i13]Patrick Slade, Preston Culbertson, Zachary Sunberg, Mykel J. Kochenderfer:
Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning. CoRR abs/1707.09055 (2017) - [i12]Ritchie Lee, Mykel J. Kochenderfer, Ole J. Mengshoel, Joshua Silbermann:
Interpretable Categorization of Heterogeneous Time Series Data. CoRR abs/1708.09121 (2017) - [i11]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR abs/1709.06166 (2017) - [i10]Zachary Sunberg, Mykel J. Kochenderfer:
POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces. CoRR abs/1709.06196 (2017) - [i9]Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert:
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. CoRR abs/1709.06656 (2017) - [i8]Alex Kuefler, Mykel J. Kochenderfer:
Burn-In Demonstrations for Multi-Modal Imitation Learning. CoRR abs/1710.05090 (2017) - [i7]Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry:
People as Sensors: Imputing Maps from Human Actions. CoRR abs/1711.01022 (2017) - 2016
- [j5]Jonathan Cox, Mykel J. Kochenderfer
:
Ground Delay Program Planning Using Markov Decision Processes. J. Aerosp. Inf. Syst. 13(3): 134-142 (2016) - [c24]Maxim Egorov, Mykel J. Kochenderfer, Jaak J. Uudmae:
Target Surveillance in Adversarial Environments Using POMDPs. AAAI 2016: 2473-2479 - [c23]Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer:
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. AAAI 2016: 2537-2543 - [c22]Yegor Tkachenko, Mykel J. Kochenderfer, Krzysztof Kluza
:
Customer Simulation for Direct Marketing Experiments. DSAA 2016: 478-487 - [c21]Zachary N. Sunberg
, Mykel J. Kochenderfer
, Marco Pavone:
Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. ICRA 2016: 1455-1461 - [c20]Tim Allan Wheeler, Mykel J. Kochenderfer:
Factor graph scene distributions for automotive safety analysis. ITSC 2016: 1035-1040 - [c19]Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer:
Analysis of microscopic behavior models for probabilistic modeling of driver behavior. ITSC 2016: 1604-1609 - [c18]Vineet Mehta, Paul D. Rowe, Gene Lewis, Ashe Magalhaes, Mykel J. Kochenderfer:
Decision-theoretic approach to designing cyber resilient systems. NCA 2016: 302-309 - [i6]Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone:
Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report). CoRR abs/1602.04762 (2016) - 2015
- [j4]Mykel J. Kochenderfer:
Introduction to the Special Issue on Optimal Decision Making in Aerospace Systems. J. Aerosp. Inf. Syst. 12(10): 617 (2015) - [j3]Kyle A. Smith, Adan E. Vela, Mykel J. Kochenderfer
, Wesley A. Olson:
Optimizing a Collision-Avoidance System for Closely Spaced Parallel Operations. J. Aerosp. Inf. Syst. 12(10): 618-633 (2015) - [j2]John R. Lepird, Michael P. Owen, Mykel J. Kochenderfer
:
Bayesian Preference Elicitation for Multiobjective Engineering Design Optimization. J. Aerosp. Inf. Syst. 12(10): 634-645 (2015) - [c17]Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer:
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. AAAI Fall Symposia 2015: 75-82 - [c16]Zouhair Mahboubi, Mykel J. Kochenderfer
:
Continous time autonomous air traffic control for non-towered airports. CDC 2015: 3433-3438 - [c15]Christopher Ho, Mykel J. Kochenderfer
, Vineet Mehta, Rajmonda Sulo Caceres
:
Control of epidemics on graphs. CDC 2015: 4202-4207 - [c14]Tim Allan Wheeler, Philipp Robbel, Mykel J. Kochenderfer
:
A Probabilistic Framework for Microscopic Traffic Propagation. ITSC 2015: 262-267 - [c13]Tim Allan Wheeler, Mykel J. Kochenderfer
, Philipp Robbel:
Initial Scene Configurations for Highway Traffic Propagation. ITSC 2015: 279-284 - [i5]Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer:
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version). CoRR abs/1511.09080 (2015) - [i4]Yi-Chun Chen, Tim Allan Wheeler, Mykel John Kochenderfer:
Learning Discrete Bayesian Networks from Continuous Data. CoRR abs/1512.02406 (2015) - 2014
- [i3]Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta
, Mykel J. Kochenderfer, Velibor V. Misic, Robert J. Moss:
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation. CoRR abs/1405.5498 (2014) - [i2]Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey:
Predicting the behavior of interacting humans by fusing data from multiple sources. CoRR abs/1408.2053 (2014) - 2013
- [c12]Christopher Amato
, Girish Chowdhary
, Alborz Geramifard, N. Kemal Ure
, Mykel J. Kochenderfer
:
Decentralized control of partially observable Markov decision processes. CDC 2013: 2398-2405 - [c11]Mykel J. Kochenderfer
, Nicholas Monath:
Compression of Optimal Value Functions for Markov Decision Processes. DCC 2013: 501 - 2012
- [c10]Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey:
Predicting the behavior of interacting humans by fusing data from multiple sources. UAI 2012: 756-765 - [i1]Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey:
Predicting the behavior of interacting humans by fusing data from multiple sources. CoRR abs/1206.6080 (2012) - 2011
- [j1]Travis B. Wolf, Mykel J. Kochenderfer
:
Aircraft Collision Avoidance Using Monte Carlo Real-Time Belief Space Search. J. Intell. Robotic Syst. 64(2): 277-298 (2011) - [c9]James P. Chryssanthacopoulos, Mykel J. Kochenderfer
:
Collision avoidance system optimization with probabilistic pilot response models. ACC 2011: 2765-2770 - [c8]Mykel J. Kochenderfer, James P. Chryssanthacopoulos:
Partially-controlled Markov Decision Processes for Collision Avoidance Systems. ICAART (1) 2011: 61-70 - [c7]Mykel J. Kochenderfer
, James P. Chryssanthacopoulos:
Collision Avoidance Using Partially Controlled Markov Decision Processes. ICAART (Revised Selected Papers) 2011: 86-100 - [c6]James P. Chryssanthacopoulos, Mykel J. Kochenderfer
:
Analysis of open-loop and closed-loop planning for aircraft collision avoidance. ITSC 2011: 212-217 - [c5]Haoyu Bai, David Hsu, Mykel J. Kochenderfer, Wee Sun Lee:
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs. Robotics: Science and Systems 2011 - 2010
- [c4]Mykel J. Kochenderfer
, James P. Chryssanthacopoulos:
A decision-theoretic approach to developing robust collision avoidance logic. ITSC 2010: 1837-1842
2000 – 2009
- 2006
- [b1]Mykel J. Kochenderfer:
Adaptive modelling and planning for learning intelligent behaviour. University of Edinburgh, UK, 2006 - 2005
- [c3]Mykel J. Kochenderfer:
Adaptive Modeling and Planning for Reactive Agents. AAAI 2005: 1648-1649 - 2004
- [c2]Rakesh Gupta, Mykel J. Kochenderfer:
Common Sense Data Acquisition for Indoor Mobile Robots. AAAI 2004: 605-610 - 2003
- [c1]Mykel J. Kochenderfer:
Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming. EuroGP 2003: 83-92
Coauthor Index
aka: Ali-Akbar Agha-Mohammadi
aka: Katherine Driggs Campbell
aka: Kyle D. Julian
aka: John Michael Mern
aka: Zachary N. Sunberg
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