| 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 | 272 | 2018 |
| The StarCraft Multi-Agent Challenge M Samvelyan, T Rashid, CS de Witt, G Farquhar, N Nardelli, TGJ Rudner, ... AAMAS 2019, 2019 | 84 | 2019 |
| 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 | 79 | 2016 |
| Maven: Multi-agent variational exploration A Mahajan, T Rashid, M Samvelyan, S Whiteson Advances in Neural Information Processing Systems, 7613-7624, 2019 | 28 | 2019 |
| 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 | 11 | 2020 |
| Exploration with unreliable intrinsic reward in multi-agent reinforcement learning W Böhmer, T Rashid, S Whiteson arXiv preprint arXiv:1906.02138, 2019 | 8 | 2019 |
| Optimistic Exploration even with a Pessimistic Initialisation T Rashid, B Peng, W Boehmer, S Whiteson International Conference on Learning Representations, 2019 | 4 | 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 | 2 | 2020 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVahvistettu sähköpostiosoite verkkotunnuksessa cs.ox.ac.uk
