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Books and Theses
- 2013
- [b1]Amanda Prorok:
Models and Algorithms for Ultra-Wideband Localization in Single- and Multi-Robot Systems. EPFL, Switzerland, 2013
Journal Articles
- 2024
- [j20]Henry Smith
, Ajay Shankar
, Jennifer Gielis
, Jan Blumenkamp
, Amanda Prorok
:
SO(2)-Equivariant Downwash Models for Close Proximity Flight. IEEE Robotics Autom. Lett. 9(2): 1174-1181 (2024) - 2022
- [j19]Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos
, Amanda Prorok:
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. Frontiers Robotics AI 9: 733876 (2022) - [j18]Francesco Sovrano
, Alex Raymond
, Amanda Prorok
:
Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics Autom. Lett. 7(2): 898-905 (2022) - [j17]Amanda Prorok
, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme:
Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics 38(1): 2-4 (2022) - [j16]Fernando Gama
, Qingbiao Li
, Ekaterina I. Tolstaya, Amanda Prorok
, Alejandro Ribeiro
:
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. 70: 1932-1946 (2022) - 2021
- [j15]Jennifer Gielis
, Amanda Prorok:
Improving 802.11p for Delivery of Safety-Critical Navigation Information in Robot-to-Robot Communication Networks. IEEE Commun. Mag. 59(1): 16-21 (2021) - [j14]Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya:
Pursuer Assignment and Control Strategies in Multi-Agent Pursuit-Evasion Under Uncertainties. Frontiers Robotics AI 8: 691637 (2021) - [j13]Matthew Malencia
, Vijay Kumar
, George J. Pappas
, Amanda Prorok
:
Fair Robust Assignment Using Redundancy. IEEE Robotics Autom. Lett. 6(2): 4217-4224 (2021) - [j12]Qingbiao Li
, Weizhe Lin, Zhe Liu
, Amanda Prorok
:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics Autom. Lett. 6(3): 5533-5540 (2021) - 2020
- [j11]Thomas M. Howard, Amanda Prorok, Hadas Kress-Gazit:
Guest Editorial: Robotics: Science and Systems 2018 (RSS 2018). Auton. Robots 44(7): 1287-1288 (2020) - [j10]Hehui Zheng
, Jacopo Panerati
, Giovanni Beltrame
, Amanda Prorok
:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. IEEE Robotics Autom. Lett. 5(2): 1009-1016 (2020) - [j9]Binyu Wang, Zhe Liu
, Qingbiao Li
, Amanda Prorok
:
Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. IEEE Robotics Autom. Lett. 5(4): 6932-6939 (2020) - [j8]Amanda Prorok
:
Robust Assignment Using Redundant Robots on Transport Networks With Uncertain Travel Time. IEEE Trans Autom. Sci. Eng. 17(4): 2025-2037 (2020) - 2019
- [j7]Amanda Prorok, Brian M. Sadler
, Magnus Egerstedt, Vijay Kumar:
Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". Auton. Robots 43(3): 741 (2019) - 2017
- [j6]Luis Guerrero-Bonilla
, Amanda Prorok, Vijay Kumar:
Formations for Resilient Robot Teams. IEEE Robotics Autom. Lett. 2(2): 841-848 (2017) - [j5]Kelsey Saulnier, David Saldana
, Amanda Prorok, George J. Pappas
, Vijay Kumar:
Resilient Flocking for Mobile Robot Teams. IEEE Robotics Autom. Lett. 2(2): 1039-1046 (2017) - [j4]Amanda Prorok
, M. Ani Hsieh, Vijay Kumar:
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms. IEEE Trans. Robotics 33(2): 346-358 (2017) - 2016
- [j3]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Fast Redistribution of a Swarm of Heterogeneous Robots. EAI Endorsed Trans. Scalable Inf. Syst. 3(10): e4 (2016) - 2014
- [j2]Amanda Prorok, Alcherio Martinoli
:
Accurate indoor localization with ultra-wideband using spatial models and collaboration. Int. J. Robotics Res. 33(4): 547-568 (2014) - 2011
- [j1]Amanda Prorok, Nikolaus Correll, Alcherio Martinoli
:
Multi-level spatial modeling for stochastic distributed robotic systems. Int. J. Robotics Res. 30(5): 574-589 (2011)
Conference and Workshop Papers
- 2023
- [c49]Matteo Bettini, Ajay Shankar, Amanda Prorok:
Heterogeneous Multi-Robot Reinforcement Learning. AAMAS 2023: 1485-1494 - [c48]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS 2023: 1661-1669 - [c47]Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok:
Decentralized Channel Management in WLANs with Graph Neural Networks. ICC 2023: 3072-3077 - [c46]Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok:
POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR 2023 - [c45]Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok:
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. ICRA 2023: 3432-3439 - [c44]Zhan Gao, Amanda Prorok:
Environment Optimization for Multi-Agent Navigation. ICRA 2023: 3440-3446 - [c43]Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok:
See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation. IROS 2023: 7333-7340 - [c42]Zhan Gao, Guang Yang, Amanda Prorok:
Online Control Barrier Functions for Decentralized Multi-Agent Navigation. MRS 2023: 107-113 - [c41]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Generalised f-Mean Aggregation for Graph Neural Networks. NeurIPS 2023 - [c40]Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok:
Reinforcement Learning with Fast and Forgetful Memory. NeurIPS 2023 - 2022
- [c39]Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump:
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. AAMAS 2022: 1804-1808 - [c38]Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok:
VMAS: A Vectorized Multi-agent Simulator for Collective Robot Learning. DARS 2022: 42-56 - [c37]Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok:
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. ICLR 2022 - [c36]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. ICRA 2022: 8772-8778 - [c35]Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok:
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. L4DC 2022: 59-73 - [c34]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro
, Pratap Tokekar, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Target Tracking. SSRR 2022: 195-202 - 2021
- [c33]Ryan Kortvelesy, Amanda Prorok:
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. ICRA 2021: 9161-9167 - [c32]Jacopo Panerati, Hehui Zheng
, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig:
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. IROS 2021: 7512-7519 - 2020
- [c31]Alex Raymond, Hatice Gunes, Amanda Prorok:
Culture-Based Explainable Human-Agent Deconfliction. AAMAS 2020: 1107-1115 - [c30]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Path Planning. AAMAS 2020: 1901-1903 - [c29]Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok:
Multi-Vehicle Mixed Reality Reinforcement Learning for Autonomous Multi-Lane Driving. AAMAS 2020: 1928-1930 - [c28]Jan Blumenkamp, Amanda Prorok:
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRL 2020: 1394-1414 - [c27]Michael Whitzer, Daigo Shishika, Dinesh Thakur, Vijay Kumar, Amanda Prorok:
DC-CAPT: Concurrent Assignment and Planning of Trajectories for Dubins Cars. ICRA 2020: 8791-8797 - [c26]Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok:
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. ICRA 2020: 9809-9815 - [c25]Qingbiao Li, Fernando Gama, Alejandro Ribeiro
, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. IROS 2020: 11785-11792 - [c24]Matthew Le Maitre, Amanda Prorok:
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. ITSC 2020: 1-6 - 2019
- [c23]Nicholas Hyldmar, Yijun He, Amanda Prorok:
A Fleet of Miniature Cars for Experiments in Cooperative Driving. ICRA 2019: 3238-3244 - [c22]Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya:
Multi-agent Pursuit-Evasion Under Uncertainties with Redundant Robot Assignments: Extended Abstract. MRS 2019: 92-94 - 2018
- [c21]Amanda Prorok:
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. DARS 2018: 313-327 - [c20]Alessandro Montanari, Fredrika Kringberg, Alice Valentini, Cecilia Mascolo, Amanda Prorok:
Surveying Areas in Developing Regions Through Context Aware Drone Mobility. DroNet@MobiSys 2018: 27-32 - 2017
- [c19]David Saldana
, Amanda Prorok, Shreyas Sundaram, Mario F. M. Campos, Vijay Kumar:
Resilient consensus for time-varying networks of dynamic agents. ACC 2017: 252-258 - [c18]Carmelo Di Franco
, Amanda Prorok, Nikolay Atanasov, Benjamin P. Kempke, Prabal Dutta, Vijay Kumar, George J. Pappas
:
Calibration-free network localization using non-line-of-sight ultra-wideband measurements. IPSN 2017: 235-246 - [c17]Florian Maushart, Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Intrusion detection for stochastic task allocation in robot swarms. IROS 2017: 1830-1837 - [c16]Amanda Prorok, Vijay Kumar:
Privacy-preserving vehicle assignment for mobility-on-demand systems. IROS 2017: 1869-1876 - [c15]David Saldana
, Bruno Gabrich, Michael Whitzer, Amanda Prorok, Mario F. M. Campos, Mark Yim, Vijay Kumar:
A decentralized algorithm for assembling structures with modular robots. IROS 2017: 2736-2743 - 2016
- [c14]Amanda Prorok, Vijay Kumar:
A Macroscopic Privacy Model for Heterogeneous Robot Swarms. ANTS Conference 2016: 15-27 - [c13]David Saldaña, Amanda Prorok, Mario F. M. Campos, Vijay Kumar:
Triangular Networks for Resilient Formations. DARS 2016: 147-159 - [c12]Amanda Prorok, Vijay Kumar:
Towards Differentially Private Aggregation of Heterogeneous Robots. DARS 2016: 587-601 - [c11]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Formalizing the impact of diversity on performance in a heterogeneous swarm of robots. ICRA 2016: 5364-5371 - 2015
- [c10]Amanda Prorok, M. Ani Hsieh, Vijay Kumar:
Fast Redistribution of a Swarm of Heterogeneous Robots. BICT 2015: 249-255 - 2012
- [c9]Amanda Prorok, Lukas Gonon
, Alcherio Martinoli
:
Online model estimation of ultra-wideband TDOA measurements for mobile robot localization. ICRA 2012: 807-814 - [c8]Amanda Prorok, Alexander Bahr, Alcherio Martinoli
:
Low-cost collaborative localization for large-scale multi-robot systems. ICRA 2012: 4236-4241 - [c7]Amanda Prorok, Alcherio Martinoli:
Accurate Localization with Ultra-Wideband: Tessellated Spatial Models and Collaboration. ISER 2012: 321-335 - 2011
- [c6]Amanda Prorok, Phillip Tomé, Alcherio Martinoli
:
Accommodation of NLOS for ultra-wideband TDOA localization in single- and multi-robot systems. IPIN 2011: 1-9 - [c5]Amanda Prorok, Alcherio Martinoli:
A reciprocal sampling algorithm for lightweight distributed multi-robot localization. IROS 2011: 3241-3247 - [c4]Sven Gowal, Amanda Prorok, Alcherio Martinoli:
Two-phase online calibration for infrared-based inter-robot positioning modules. IROS 2011: 3313-3319 - 2010
- [c3]Amanda Prorok, Christopher M. Cianci, Alcherio Martinoli
:
Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks. ICRA 2010: 5453-5459 - [c2]Amanda Prorok, Adrian Arfire, Alexander Bahr, John R. Farserotu, Alcherio Martinoli
:
Indoor navigation research with the Khepera III mobile robot: An experimental baseline with a case-study on ultra-wideband positioning. IPIN 2010: 1-9 - 2008
- [c1]Christopher M. Cianci, Julien Nembrini
, Amanda Prorok, Alcherio Martinoli
:
Assembly of configurations in a networked robotic system: A case study on a reconfigurable interactive table lamp. SIS 2008: 1-7
Informal and Other Publications
- 2024
- [i59]Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok:
Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR abs/2402.09900 (2024) - [i58]Dulhan Jayalath, Steven D. Morad, Amanda Prorok:
Generalising Multi-Agent Cooperation through Task-Agnostic Communication. CoRR abs/2403.06750 (2024) - [i57]Zhan Gao, Guang Yang, Amanda Prorok:
Co-Optimization of Environment and Policies for Decentralized Multi-Agent Navigation. CoRR abs/2403.14583 (2024) - [i56]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok:
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRR abs/2405.01107 (2024) - [i55]Jan Blumenkamp, Ajay Shankar, Matteo Bettini, Joshua Bird, Amanda Prorok:
The Cambridge RoboMaster: An Agile Multi-Robot Research Platform. CoRR abs/2405.02198 (2024) - [i54]Matteo Bettini, Ryan Kortvelesy, Amanda Prorok:
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning. CoRR abs/2405.15054 (2024) - [i53]Edan Toledo, Amanda Prorok:
CoDreamer: Communication-Based Decentralised World Models. CoRR abs/2406.13600 (2024) - [i52]Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok:
Language-Conditioned Offline RL for Multi-Robot Navigation. CoRR abs/2407.20164 (2024) - 2023
- [i51]Matteo Bettini, Ajay Shankar, Amanda Prorok:
Heterogeneous Multi-Robot Reinforcement Learning. CoRR abs/2301.07137 (2023) - [i50]Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok:
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. CoRR abs/2301.08451 (2023) - [i49]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. CoRR abs/2302.12826 (2023) - [i48]Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok:
POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR abs/2303.01859 (2023) - [i47]Zhan Gao, Guang Yang, Amanda Prorok:
Learning Environment-Aware Control Barrier Functions for Safe and Feasible Multi-Robot Navigation. CoRR abs/2303.04313 (2023) - [i46]Matteo Bettini, Ajay Shankar, Amanda Prorok:
System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning. CoRR abs/2305.02128 (2023) - [i45]Zhan Gao, Amanda Prorok:
Constrained Environment Optimization for Prioritized Multi-Agent Navigation. CoRR abs/2305.11260 (2023) - [i44]Henry Smith, Ajay Shankar, Jan Blumenkamp, Jennifer Gielis, Amanda Prorok:
SO(2)-Equivariant Downwash Models for Close Proximity Flight. CoRR abs/2305.18983 (2023) - [i43]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Generalised f-Mean Aggregation for Graph Neural Networks. CoRR abs/2306.13826 (2023) - [i42]Jasmine Bayrooti, Zhan Gao, Amanda Prorok:
Differentially Private Decentralized Deep Learning with Consensus Algorithms. CoRR abs/2306.13892 (2023) - [i41]Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok:
Reinforcement Learning with Fast and Forgetful Memory. CoRR abs/2310.04128 (2023) - [i40]Ajay Shankar, Heedo Woo, Amanda Prorok:
Docking Multirotors in Close Proximity using Learnt Downwash Models. CoRR abs/2311.13988 (2023) - [i39]Matteo Bettini, Amanda Prorok, Vincent Moens:
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning. CoRR abs/2312.01472 (2023) - [i38]Zhan Gao, Amanda Prorok, Elvin Isufi:
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks. CoRR abs/2312.02372 (2023) - [i37]Jennifer Gielis, Ajay Shankar, Ryan Kortvelesy, Amanda Prorok:
Modeling Aggregate Downwash Forces for Dense Multirotor Flight. CoRR abs/2312.03488 (2023) - 2022
- [i36]Ryan Kortvelesy, Amanda Prorok:
QGNN: Value Function Factorisation with Graph Neural Networks. CoRR abs/2205.13005 (2022) - [i35]Jennifer Gielis, Ajay Shankar, Amanda Prorok:
A Critical Review of Communications in Multi-Robot Systems. CoRR abs/2206.09484 (2022) - [i34]Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp, Amanda Prorok:
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning. CoRR abs/2207.03530 (2022) - [i33]Matteo Bettini, Amanda Prorok:
On the properties of path additions for traffic routing. CoRR abs/2207.04505 (2022) - [i32]Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok:
Learning to Navigate using Visual Sensor Networks. CoRR abs/2208.00759 (2022) - [i31]Zhan Gao, Amanda Prorok:
Environment Optimization for Multi-Agent Navigation. CoRR abs/2209.11279 (2022) - [i30]Zhan Gao, Yulin Shao, Deniz Gündüz, Amanda Prorok:
Decentralized Channel Management in WLANs with Graph Neural Networks. CoRR abs/2210.16949 (2022) - 2021
- [i29]Matthew Malencia, Vijay Kumar, George J. Pappas, Amanda Prorok:
Fair Robust Assignment using Redundancy. CoRR abs/2102.06265 (2021) - [i28]Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig:
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. CoRR abs/2103.02142 (2021) - [i27]Ryan Kortvelesy, Amanda Prorok:
ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture. CoRR abs/2103.13446 (2021) - [i26]Leiming Zhang, Amanda Prorok, Subhrajit Bhattacharya:
Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties. CoRR abs/2103.15660 (2021) - [i25]Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar:
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. CoRR abs/2105.08601 (2021) - [i24]Steven D. Morad, Stephan Liwicki, Amanda Prorok:
Graph Convolutional Memory for Deep Reinforcement Learning. CoRR abs/2106.14117 (2021) - [i23]Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos, Amanda Prorok:
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution. CoRR abs/2107.00032 (2021) - [i22]Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump:
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts. CoRR abs/2107.12254 (2021) - [i21]Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar:
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR abs/2109.12343 (2021) - [i20]Francesco Sovrano, Alex Raymond, Amanda Prorok:
Explanation-Aware Experience Replay in Rule-Dense Environments. CoRR abs/2109.14711 (2021) - [i19]Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok:
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. CoRR abs/2110.05291 (2021) - [i18]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. CoRR abs/2111.01777 (2021) - 2020
- [i17]Matthew Le Maitre, Amanda Prorok:
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic. CoRR abs/2005.04995 (2020) - [i16]Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok:
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning. CoRR abs/2005.05420 (2020) - [i15]Jan Blumenkamp, Amanda Prorok:
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning. CoRR abs/2008.02616 (2020) - [i14]Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok:
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. CoRR abs/2011.13219 (2020) - [i13]Rupert Mitchell, Jan Blumenkamp, Amanda Prorok:
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication. CoRR abs/2012.00508 (2020) - [i12]Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Decentralized Control with Graph Neural Networks. CoRR abs/2012.14906 (2020) - 2019
- [i11]Nicholas Hyldmar, Yijun He, Amanda Prorok:
A Fleet of Miniature Cars for Experiments in Cooperative Driving. CoRR abs/1902.06133 (2019) - [i10]Wenying Wu, Subhrajit Bhattacharya, Amanda Prorok:
Multi-Robot Path Deconfliction through Prioritization by Path Prospects. CoRR abs/1908.02361 (2019) - [i9]Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. CoRR abs/1909.10387 (2019) - [i8]Alex Raymond, Hatice Gunes, Amanda Prorok:
Culture-Based Explainable Human-Agent Deconfliction. CoRR abs/1911.10098 (2019) - [i7]Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok:
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving. CoRR abs/1911.11699 (2019) - [i6]Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok:
Graph Neural Networks for Decentralized Multi-Robot Path Planning. CoRR abs/1912.06095 (2019) - 2018
- [i5]Amanda Prorok:
Supermodular Optimization for Redundant Robot Assignment under Travel-Time Uncertainty. CoRR abs/1804.04986 (2018) - [i4]Amanda Prorok:
Graph Neural Networks for Learning Robot Team Coordination. CoRR abs/1805.03737 (2018) - [i3]Amanda Prorok:
Redundant Robot Assignment on Graphs with Uncertain Edge Costs. CoRR abs/1810.04016 (2018) - 2017
- [i2]Amanda Prorok, Vijay Kumar:
Privacy-Preserving Vehicle Assignment for Mobility-on-Demand Systems. CoRR abs/1703.04738 (2017) - [i1]Amanda Prorok, Vijay Kumar:
A Macroscopic Model for Differential Privacy in Dynamic Robotic Networks. CoRR abs/1703.04797 (2017)
Coauthor Index
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last updated on 2024-08-22 19:48 CEST by the dblp team
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