| A survey of meta-reinforcement learning J Beck, R Vuorio, EZ Liu, Z Xiong, L Zintgraf, C Finn, S Whiteson arXiv preprint arXiv:2301.08028, 2023 | 38 | 2023 |
| Amrl: Aggregated memory for reinforcement learning J Beck, K Ciosek, S Devlin, S Tschiatschek, C Zhang, K Hofmann International Conference on Learning Representations, 2019 | 19 | 2019 |
| Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO M Sun, S Devlin, J Beck, K Hofmann, S Whiteson arXiv preprint arXiv:2202.00082, 2022 | 13 | 2022 |
| Hypernetworks in Meta-Reinforcement Learning J Beck, MT Jackson, R Vuorio, S Whiteson 6th Annual Conference on Robot Learning, 2022 | 12 | 2022 |
| On the practical consistency of meta-reinforcement learning algorithms Z Xiong, L Zintgraf, J Beck, R Vuorio, S Whiteson arXiv preprint arXiv:2112.00478, 2021 | 8 | 2021 |
| Stackelberg punishment and bully-proofing autonomous vehicles M Cooper, JK Lee, J Beck, JD Fishman, M Gillett, Z Papakipos, A Zhang, ... Social Robotics: 11th International Conference, ICSR 2019, Madrid, Spain …, 2019 | 6 | 2019 |
| No DICE: An investigation of the bias-variance tradeoff in meta-gradients R Vuorio, JA Beck, G Farquhar, JN Foerster, S Whiteson Deep RL Workshop NeurIPS 2021, 2021 | 5 | 2021 |
| Trust region bounds for decentralized ppo under non-stationarity M Sun, S Devlin, J Beck, K Hofmann, S Whiteson Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 2 | 2023 |
| Reneg and backseat driver: Learning from demonstration with continuous human feedback J Beck, Z Papakipos, M Littman arXiv preprint arXiv:1901.05101, 2019 | 2 | 2019 |
| Quality aspects of annotated data: A research synthesis J Beck AStA Wirtschafts-und Sozialstatistisches Archiv, 1-23, 2023 | | 2023 |
| Annotation Sensitivity: Training Data Collection Methods Affect Model Performance C Kern, S Eckman, J Beck, R Chew, B Ma, F Kreuter arXiv preprint arXiv:2311.14212, 2023 | | 2023 |
| Recurrent Hypernetworks are Surprisingly Strong in Meta-RL J Beck, R Vuorio, Z Xiong, S Whiteson arXiv preprint arXiv:2309.14970, 2023 | | 2023 |
| Universal Morphology Control via Contextual Modulation Z Xiong, J Beck, S Whiteson arXiv preprint arXiv:2302.11070, 2023 | | 2023 |
| An Investigation of the Bias-Variance Tradeoff in Meta-Gradients R Vuorio, J Beck, S Whiteson, J Foerster, G Farquhar arXiv preprint arXiv:2209.11303, 2022 | | 2022 |
| Human-Actor Human-Critic J Beck, N Srinivasan, A Shah, J Roy | | 2020 |
| ReNeg and Backseat Driver: Learning from demonstration with continuous human feedback Z Papakipos, J Beck, M Littman | | 2018 |
| Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks J Beck, Z Papakipos arXiv preprint arXiv:1807.11121, 2018 | | 2018 |
| Hypernetworks in Meta-Reinforcement Learning Supplementary Materials J Beck, M Jackson, R Vuorio, S Whiteson | | |
| Collaboration in Deep MARL J Beck | | |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
