| Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson Journal of Machine Learning Research 21(178):1−51, 2020, 2020 | 2902 | 2020 |
| The StarCraft Multi-Agent Challenge M Samvelyan, T Rashid, CS de Witt, G Farquhar, N Nardelli, TGJ Rudner, ... AAMAS 2019, 2019 | 1230 | 2019 |
| Maven: Multi-agent variational exploration A Mahajan, T Rashid, M Samvelyan, S Whiteson Advances in Neural Information Processing Systems, 7613-7624, 2019 | 457 | 2019 |
| Weighted QMIX: Expanding Monotonic Value Function Factorisation T Rashid, G Farquhar, B Peng, S Whiteson Advances in Neural Information Processing Systems 33, 2020, 2020 | 416* | 2020 |
| Facmac: Factored multi-agent centralised policy gradients B Peng, T Rashid, C Schroeder de Witt, PA Kamienny, P Torr, W Böhmer, ... Advances in Neural Information Processing Systems 34, 12208-12221, 2021 | 279 | 2021 |
| A new take on detecting insider threats: exploring the use of hidden markov models T Rashid, I Agrafiotis, JRC Nurse Proceedings of the 8th ACM CCS International Workshop on Managing Insider …, 2016 | 215 | 2016 |
| Imitating human behaviour with diffusion models T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ... arXiv preprint arXiv:2301.10677, 2023 | 198 | 2023 |
| Optimistic Exploration even with a Pessimistic Initialisation T Rashid, B Peng, W Boehmer, S Whiteson International Conference on Learning Representations, 2019 | 53 | 2019 |
| Regularized softmax deep multi-agent q-learning L Pan, T Rashid, B Peng, L Huang, S Whiteson Advances in Neural Information Processing Systems 34, 1365-1377, 2021 | 36 | 2021 |
| Exploration with unreliable intrinsic reward in multi-agent reinforcement learning W Böhmer, T Rashid, S Whiteson arXiv preprint arXiv:1906.02138, 2019 | 32 | 2019 |
| Estimating α-Rank by Maximizing Information Gain T Rashid, C Zhang, K Ciosek Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5673-5681, 2021 | 11 | 2021 |
| Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games L Schäfer, L Jones, A Kanervisto, Y Cao, T Rashid, R Georgescu, ... | 3 | 2023 |
| Scaling Laws for Pre-training Agents and World Models T Pearce, T Rashid, D Bignell, R Georgescu, S Devlin, K Hofmann arXiv preprint arXiv:2411.04434, 2024 | 2 | 2024 |
| Aligning Agents like Large Language Models A Jelley, Y Cao, D Bignell, S Devlin, T Rashid | 1 | 2023 |
| World and Human Action Models towards gameplay ideation A Kanervisto, D Bignell, LY Wen, M Grayson, R Georgescu, ... Nature 638 (8051), 656-663, 2025 | | 2025 |
| Exploration and value function factorisation in single and multi-agent reinforcement learning T Rashid University of Oxford, 2021 | | 2021 |
| QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning T Rashid, M Samvelyan, CS de Witt, G Farquhar, J Foerster, S Whiteson Proceedings of the 35th International Conference on Machine Learning, 2018 | | 2018 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoPreverjeni e-poštni naslov na cs.ox.ac.uk
