| Deep implicit coordination graphs for multi-agent reinforcement learning S Li, JK Gupta, P Morales, R Allen, MJ Kochenderfer arXiv preprint arXiv:2006.11438, 2020 | 99 | 2020 |
| A real-time framework for kinodynamic planning with application to quadrotor obstacle avoidance R Allen, M Pavone AIAA Guidance, Navigation, and Control Conference, 1374, 2016 | 98 | 2016 |
| A machine learning approach for real-time reachability analysis RE Allen, AA Clark, JA Starek, M Pavone 2014 IEEE/RSJ international conference on intelligent robots and systems …, 2014 | 87 | 2014 |
| Evaluation of human-ai teams for learned and rule-based agents in hanabi HC Siu, J Peña, E Chen, Y Zhou, V Lopez, K Palko, K Chang, R Allen Advances in Neural Information Processing Systems 34, 16183-16195, 2021 | 59 | 2021 |
| A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance RE Allen, M Pavone Robotics and Autonomous Systems 115, 174-193, 2019 | 55 | 2019 |
| Internally-actuated rovers for all-access surface mobility: Theory and experimentation R Allen, M Pavone, C McQuin, IAD Nesnas, JC Castillo-Rogez, ... 2013 IEEE International Conference on Robotics and Automation, 5481-5488, 2013 | 39* | 2013 |
| Learning emergent discrete message communication for cooperative reinforcement learning S Li, Y Zhou, R Allen, MJ Kochenderfer 2022 International Conference on Robotics and Automation (ICRA), 5511-5517, 2022 | 18 | 2022 |
| Toward a real-time framework for solving the kinodynamic motion planning problem R Allen, M Pavone 2015 IEEE international conference on robotics and automation (ICRA), 928-934, 2015 | 17 | 2015 |
| Any-play: An intrinsic augmentation for zero-shot coordination K Lucas, RE Allen arXiv preprint arXiv:2201.12436, 2022 | 16 | 2022 |
| Interpretable autonomous flight via compact visualizable neural circuit policies P Tylkin, TH Wang, K Palko, R Allen, HC Siu, D Wrafter, T Seyde, A Amini, ... IEEE Robotics and Automation Letters 7 (2), 3265-3272, 2022 | 14 | 2022 |
| Training deep learning spacecraft component detection algorithms using synthetic image data H Viggh, S Loughran, Y Rachlin, R Allen, J Ruprecht 2023 IEEE Aerospace Conference, 1-13, 2023 | 12 | 2023 |
| Toward an autonomous aerial survey and planning system for humanitarian aid and disaster response R Allen, M Mazumder 2020 IEEE Aerospace Conference, 1-11, 2020 | 10 | 2020 |
| Health-informed policy gradients for multi-agent reinforcement learning RE Allen, JK Gupta, J Pena, Y Zhou, JW Bear, MJ Kochenderfer arXiv preprint arXiv:1908.01022, 2019 | 9 | 2019 |
| Flying smartphones: when portable computing sprouts wings R Allen, M Pavone, M Schwager IEEE Pervasive Computing 15 (3), 83-88, 2016 | 9 | 2016 |
| SpaceGym: Discrete and Differential Games in Non-Cooperative Space Operations RE Allen, Y Rachlin, J Ruprecht, S Loughran, J Varey, H Viggh 2023 IEEE Aerospace Conference, 1-12, 2023 | 8 | 2023 |
| Autonomous flight arcade challenge: Single-and multi-agent learning environments for aerial vehicles P Tylkin, TH Wang, T Seyde, K Palko, R Allen, A Amini, D Rus Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 3 | 2022 |
| Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games K Gupta, X Liu, R Allen, U Topcu, D Fridovich-Keil arXiv preprint arXiv:2406.03565, 2024 | 1 | 2024 |
| Distributed Online Planning for Min-Max Problems in Networked Markov Games AE Tzikas, J Park, MJ Kochenderfer, RE Allen IEEE Robotics and Automation Letters, 2024 | 1 | 2024 |
| Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research Y Zhou, S Manuel, P Morales, S Li, J Pena, R Allen 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-9, 2020 | 1 | 2020 |
| Syndeo: Portable Ray Clusters with Secure Containerization W Li, RSL Mercado, JD Pena, RE Allen arXiv preprint arXiv:2409.17070, 2024 | | 2024 |
Marco PavoneStanford University and NVIDIACorreu electrònic verificat a stanford.edu
