Socially aware motion planning with deep reinforcement learning YF Chen, M Everett, M Liu, JP How 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 786 | 2017 |
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning YF Chen, M Liu, M Everett, JP How 2017 IEEE international conference on robotics and automation (ICRA), 285-292, 2017 | 690 | 2017 |
Motion planning among dynamic, decision-making agents with deep reinforcement learning M Everett, YF Chen, JP How 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 568 | 2018 |
Faster: Fast and safe trajectory planner for navigation in unknown environments J Tordesillas, BT Lopez, M Everett, JP How IEEE Transactions on Robotics 38 (2), 922-938, 2021 | 253* | 2021 |
Safe reinforcement learning with model uncertainty estimates B Lütjens, M Everett, JP How 2019 International Conference on Robotics and Automation (ICRA), 8662-8668, 2019 | 179 | 2019 |
Collision avoidance in pedestrian-rich environments with deep reinforcement learning M Everett, YF Chen, JP How IEEE Access 9, 10357-10377, 2021 | 172 | 2021 |
Multi-agent motion planning for dense and dynamic environments via deep reinforcement learning SH Semnani, H Liu, M Everett, A De Ruiter, JP How IEEE Robotics and Automation Letters 5 (2), 3221-3226, 2020 | 109 | 2020 |
Certified Adversarial Robustness for Deep Reinforcement Learning B Lütjens, M Everett, JP How 2019 Conference on Robot Learning (CoRL), 2019 | 89 | 2019 |
R-MADDPG for partially observable environments and limited communication RE Wang, M Everett, JP How arXiv preprint arXiv:2002.06684, 2020 | 81 | 2020 |
Where to go next: Learning a subgoal recommendation policy for navigation in dynamic environments B Brito, M Everett, JP How, J Alonso-Mora IEEE Robotics and Automation Letters 6 (3), 4616-4623, 2021 | 64 | 2021 |
Certified adversarial robustness for deep reinforcement learning M Everett, B Lutjens, JP How arXiv preprint arXiv:2004.06496, 2020 | 59* | 2020 |
Reachability analysis of neural feedback loops M Everett, G Habibi, C Sun, JP How IEEE Access 9, 163938-163953, 2021 | 49 | 2021 |
Principles and guidelines for evaluating social robot navigation algorithms A Francis, C Pérez-d'Arpino, C Li, F Xia, A Alahi, R Alami, A Bera, ... arXiv preprint arXiv:2306.16740, 2023 | 37 | 2023 |
Robustness analysis of neural networks via efficient partitioning with applications in control systems M Everett, G Habibi, JP How IEEE Control Systems Letters 5 (6), 2114-2119, 2020 | 26 | 2020 |
Risk-aware off-road navigation via a learned speed distribution map X Cai, M Everett, J Fink, JP How 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 20 | 2022 |
Efficient guided policy search via imitation of robust tube MPC A Tagliabue, DK Kim, M Everett, JP How 2022 International Conference on Robotics and Automation (ICRA), 462-468, 2022 | 20 | 2022 |
Planning Beyond the Sensing Horizon Using a Learned Context M Everett, J Miller, JP How 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 19 | 2019 |
Probabilistic traversability model for risk-aware motion planning in off-road environments X Cai, M Everett, L Sharma, PR Osteen, JP How 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 18 | 2023 |
Influencing long-term behavior in multiagent reinforcement learning DK Kim, M Riemer, M Liu, J Foerster, M Everett, C Sun, G Tesauro, ... Advances in Neural Information Processing Systems 35, 18808-18821, 2022 | 18 | 2022 |
Efficient reachability analysis of closed-loop systems with neural network controllers M Everett, G Habibi, JP How 2021 IEEE International Conference on Robotics and Automation (ICRA), 4384-4390, 2021 | 18 | 2021 |