| Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems SV Albrecht, P Stone Artificial Intelligence 258, 66-95, 2018 | 553 | 2018 |
| Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks G Papoudakis, F Christianos, L Schäfer, SV Albrecht Conference on Neural Information Processing Systems (NeurIPS), 2021 | 275* | 2021 |
| Dealing with non-stationarity in multi-agent deep reinforcement learning G Papoudakis, F Christianos, A Rahman, SV Albrecht arXiv preprint arXiv:1906.04737, 2019 | 210 | 2019 |
| Shared experience actor-critic for multi-agent reinforcement learning F Christianos, L Schäfer, SV Albrecht Conference on Neural Information Processing Systems (NeurIPS), 2020 | 171 | 2020 |
| A Game-Theoretic Model and Best-Response Learning Method for Ad Hoc Coordination in Multiagent Systems SV Albrecht, S Ramamoorthy Proceedings of the 12th International Conference on Autonomous Agents and …, 2013 | 129 | 2013 |
| Stabilizing generative adversarial networks: A survey M Wiatrak, SV Albrecht, A Nystrom arXiv preprint arXiv:1910.00927, 2019 | 127 | 2019 |
| Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing F Christianos, G Papoudakis, A Rahman, SV Albrecht International Conference on Machine Learning (ICML), 2021 | 113 | 2021 |
| Belief and Truth in Hypothesised Behaviours SV Albrecht, JW Crandall, S Ramamoorthy Artificial Intelligence 235, 63-94, 2016 | 83 | 2016 |
| Reasoning about hypothetical agent behaviours and their parameters SV Albrecht, P Stone Proceedings of the 16th International Conference on Autonomous Agents and …, 2017 | 77 | 2017 |
| Multi-Agent Reinforcement Learning: Foundations and Modern Approaches SV Albrecht, F Christianos, L Schäfer MIT Press, www.marl-book.com, 2024 | 68 | 2024 |
| Interpretable goal-based prediction and planning for autonomous driving SV Albrecht, C Brewitt, J Wilhelm, B Gyevnar, F Eiras, M Dobre, ... IEEE International Conference on Robotics and Automation (ICRA), 2021 | 63* | 2021 |
| A survey of ad hoc teamwork research R Mirsky, I Carlucho, A Rahman, E Fosong, W Macke, M Sridharan, ... European conference on multi-agent systems, 275-293, 2022 | 58* | 2022 |
| Towards open ad hoc teamwork using graph-based policy learning MA Rahman, N Hopner, F Christianos, SV Albrecht International conference on machine learning, 8776-8786, 2021 | 54 | 2021 |
| Agent modelling under partial observability for deep reinforcement learning G Papoudakis, F Christianos, S Albrecht Advances in Neural Information Processing Systems 34, 19210-19222, 2021 | 53 | 2021 |
| Decoupled reinforcement learning to stabilise intrinsically-motivated exploration L Schäfer, F Christianos, JP Hanna, SV Albrecht arXiv preprint arXiv:2107.08966, 2021 | 37* | 2021 |
| A two-stage optimization-based motion planner for safe urban driving F Eiras, M Hawasly, SV Albrecht, S Ramamoorthy IEEE Transactions on Robotics 38 (2), 822-834, 2021 | 37 | 2021 |
| Variational autoencoders for opponent modeling in multi-agent systems G Papoudakis, SV Albrecht arXiv preprint arXiv:2001.10829, 2020 | 36 | 2020 |
| On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems SV Albrecht, S Ramamoorthy Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence …, 2014 | 36* | 2014 |
| Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems SV Albrecht, S Ramamoorthy Proceedings of the 11th International Conference on Autonomous Agents and …, 2012 | 33* | 2012 |
| GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving C Brewitt, B Gyevnar, S Garcin, SV Albrecht IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 30 | 2021 |
Filippos ChristianosUniversity of Edinburgh在 ed.ac.uk 的电子邮件经过验证
