| Heterogeneous Multi-Robot Reinforcement Learning M Bettini, A Shankar, A Prorok Autonomous Agents and Multiagent Systems (AAMAS), 1485–1494, 2023 | 35 | 2023 |
| POPGym: Benchmarking Partially Observable Reinforcement Learning S Morad, R Kortvelesy, M Bettini, S Liwicki, A Prorok International Conference on Learning Representations (ICLR), 2023 | 30 | 2023 |
| TorchRL: A Data-Driven Decision-Making Library for PyTorch A Bou, M Bettini, S Dittert, V Kumar, S Sodhani, X Yang, G De Fabritiis, ... International Conference on Learning Representations (ICLR), 2023 | 25 | 2023 |
| VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning M Bettini, R Kortvelesy, J Blumenkamp, A Prorok Distributed Autonomous Robotic Systems (DARS), 2022 | 25 | 2022 |
| System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning M Bettini, A Shankar, A Prorok arXiv preprint arXiv:2305.02128, 2023 | 6 | 2023 |
| BenchMARL: Benchmarking Multi-Agent Reinforcement Learning M Bettini, A Prorok, V Moens Journal of Machine Learning Research (JMLR) 25, 1--10, 2024 | 5 | 2024 |
| The Cambridge RoboMaster: An Agile Multi-Robot Research Platform J Blumenkamp, A Shankar, M Bettini, J Bird, A Prorok Distributed Autonomous Robotic Systems (DARS), 2024 | 3 | 2024 |
| Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning M Bettini, R Kortvelesy, A Prorok International Conference on Machine Learning (ICML), 2024 | | 2024 |
| Evaluating Benefits of Heterogeneity in Constrained Multi-Agent Learning A Shaw, M Bettini University of Cambridge, 2023 | | 2023 |
| On the properties of path additions for traffic routing M Bettini, A Prorok arXiv preprint arXiv:2207.04505, 2022 | | 2022 |
Amanda ProrokProfessor of Collective Intelligence and Robotics, University of Cambridge在 cl.cam.ac.uk 的电子邮件经过验证
