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ORCIDMykel J. Kochenderfer
Mykel John Kochenderfer
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- affiliation: Stanford University
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2020 – today
- 2023
[j39]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)- [j38]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) - [j37]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) - [j36]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) - [j35]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) - [c161]Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer:
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. ICAPS 2023: 198-202 - [c160]Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC 2023: 1-6 - [c159]Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer:
Deep Normalizing Flows for State Estimation. FUSION 2023: 1-6 - [c158]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 - [c157]Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer:
Model Predictive Optimized Path Integral Strategies. ICRA 2023: 3182-3188 - [c156]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 - [c155]Joshua Ott, Edward Balaban, Mykel J. Kochenderfer:
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. ICRA 2023: 7894-7901 - [c154]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 - [c153]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 - [c152]Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer:
Model-based Validation as Probabilistic Inference. L4DC 2023: 825-837 - [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
- [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [c151]Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer:
A Gray Box Model for Characterizing Driver Behavior. SafeAI@AAAI 2022 - [c150]Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI 2022: 7664-7671 - [c149]John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. SafeAI@AAAI 2022 - [c148]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 - [c147]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. AAMAS 2022: 272-280 - [c146]Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer:
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. AAMAS 2022: 1723-1725 - [c145]Masha Itkina, Mykel J. Kochenderfer:
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction. CoRL 2022: 606-617 - [c144]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 - [c143]Lisa J. Einstein, Robert J. Moss, Mykel J. Kochenderfer:
Prioritizing emergency evacuations under compounding levels of uncertainty. GHTC 2022: 265-272 - [c142]Eric Luxenberg, Stephen P. Boyd, Misha van Beek, Wen Cao, Mykel J. Kochenderfer:
Strategic Asset Allocation with Illiquid Alternatives. ICAIF 2022: 249-256 - [c141]Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer:
Multi-Agent Variational Occlusion Inference Using People as Sensors. ICRA 2022: 4585-4591 - [c140]Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. ICRA 2022: 5511-5517 - [c139]Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim:
Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. ICRA 2022: 5939-5945 - [c138]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract). IJCAI 2022: 5279-5283 - [c137]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 - [c136]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 - [c135]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 - [c134]Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel:
Multi-Objective Policy Gradients with Topological Constraints. IROS 2022: 9034-9039 - [c133]Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer:
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. IROS 2022: 10836-10841 - [c132]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 - [c131]Liam A. Kruse, Esen Yel, Ransalu Senanayake, Mykel J. Kochenderfer:
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior. ITSC 2022: 1202-1207 - [c130]Samuel Low, Mykel J. Kochenderfer:
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints. L4DC 2022: 355-365 - [c129]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 - [c128]Dylan M. Asmar, Mykel J. Kochenderfer:
Collaborative Decision Making Using Action Suggestions. NeurIPS 2022 - [c127]Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. NeurIPS 2022 - [c126]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
- [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [c125]Anthony Corso, Mykel J. Kochenderfer:
Transfer Learning for Efficient Iterative Safety Validation. AAAI 2021: 7125-7132 - [c124]