| Maven: Multi-agent variational exploration A Mahajan, T Rashid, M Samvelyan, S Whiteson 33rd International Conference on Neural Information Processing Systems, 2019 | 266 | 2019 |
| Rode: Learning roles to decompose multi-agent tasks T Wang, T Gupta, A Mahajan, B Peng, S Whiteson, C Zhang 9th International Conference on Learning Representations (ICLR 2021), 2020 | 114 | 2020 |
| Open-Ended Learning Leads to Generally Capable Agents OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ... arXiv preprint arXiv:2107.12808, 2021 | 94 | 2021 |
| Virel: A variational inference framework for reinforcement learning M Fellows*, A Mahajan*, TGJ Rudner, S Whiteson Advances in neural information processing systems 32, 2019 | 40 | 2019 |
| Uneven: Universal value exploration for multi-agent reinforcement learning T Gupta, A Mahajan, B Peng, W Böhmer, S Whiteson International Conference on Machine Learning, 3930-3941, 2021 | 33 | 2021 |
| Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... 38th International Conference on Machine Learning 139, 7301-7312, 2021 | 25 | 2021 |
| Symmetry learning for function approximation in reinforcement learning A Mahajan, T Tulabandhula arXiv preprint arXiv:1706.02999, 2017 | 24 | 2017 |
| Personalizing application interfaces based on usage S Srivastava, K Simarjot, T Bhattacharya, L Nupur, J Macurak, A Mahajan, ... US Patent 11,112,950, 2021 | 17 | 2021 |
| Feature selection for short text classification using wavelet packet transform A Mahajan, S Jat, S Roy Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015 | 14 | 2015 |
| Symmetry detection and exploitation for function approximation in deep rl A Mahajan, T Tulabandhula Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 11 | 2017 |
| Variational task embeddings for fast adapta-tion in deep reinforcement learning L Zintgraf, M Igl, K Shiarlis, A Mahajan, K Hofmann, S Whiteson International Conference on Learning Representations Workshop (ICLRW), 2019 | 9 | 2019 |
| Model based Multi-agent Reinforcement Learning with Tensor Decompositions P Van Der Vaart, A Mahajan, S Whiteson Quantum Tensor Networks in Machine Learning Workshop, NeurIPS 2021, 2021 | 8 | 2021 |
| SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning B Ellis, S Moalla, M Samvelyan, M Sun, A Mahajan, JN Foerster, ... arXiv preprint arXiv:2212.07489, 2022 | 7 | 2022 |
| Generalization in cooperative multi-agent systems A Mahajan, M Samvelyan, T Gupta, B Ellis, M Sun, T Rocktäschel, ... arXiv preprint arXiv:2202.00104, 2022 | 6 | 2022 |
| Softdice for imitation learning: Rethinking off-policy distribution matching M Sun, A Mahajan, K Hofmann, S Whiteson arXiv preprint arXiv:2106.03155, 2021 | 5 | 2021 |
| Lifted inference rules with constraints H Mittal, A Mahajan, VG Gogate, P Singla Advances in Neural Information Processing Systems 28, 2015 | 5 | 2015 |
| Effects of Spectral Normalization in Multi-agent Reinforcement Learning K Mehta, A Mahajan, P Kumar arXiv preprint arXiv:2212.05331, 2022 | 3 | 2022 |
| Reinforcement Learning in Factored Action Spaces using Tensor Decompositions A Mahajan, M Samvelyan, L Mao, V Makoviychuk, A Garg, J Kossaifi, ... Quantum Tensor Networks in Machine Learning Workshop, NeurIPS 2021, 2021 | 1 | 2021 |
| Generalization Across Observation Shifts in Reinforcement Learning A Mahajan, A Zhang https://arxiv.org/pdf/2306.04595.pdf, 2023 | | 2023 |
| marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization K Mehta, A Mahajan, P Kumar arXiv preprint arXiv:2303.13808, 2023 | | 2023 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
