| Adversarial policies: Attacking deep reinforcement learning A Gleave, M Dennis, C Wild, N Kant, S Levine, S Russell (ICLR 2020) - Eighth International Conference on Learning Representations, 2020 | 424 | 2020 |
| Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design M Dennis, N Jaques, E Vinitsky, A Bayen, S Russell, A Critch, S Levine (NeurIPS 2020) - Advances in Neural Information Processing Systems 33, 2020 | 209 | 2020 |
| Evolving curricula with regret-based environment design J Parker-Holder, M Jiang, M Dennis, M Samvelyan, J Foerster, ... International Conference on Machine Learning, 17473-17498, 2022 | 104 | 2022 |
| Replay-guided adversarial environment design M Jiang, M Dennis, J Parker-Holder, J Foerster, E Grefenstette, ... Advances in Neural Information Processing Systems 34, 1884-1897, 2021 | 90 | 2021 |
| Quantifying Differences in Reward Functions A Gleave, M Dennis, S Legg, S Russell, J Leike (ICLR 2021) - Ninth International Conference on Learning Representations, 2021 | 63 | 2021 |
| Adversarial Policies Beat Professional-Level Go AIs TT Wang, A Gleave, N Belrose, T Tseng, J Miller, MD Dennis, Y Duan, ... arXiv preprint arXiv:2211.00241, 2022 | 51* | 2022 |
| Genie: Generative Interactive Environments J Bruce, M Dennis, A Edwards, J Parker-Holder, Y Shi, E Hughes, M Lai, ... arXiv preprint arXiv:2402.15391, 2024 | 36 | 2024 |
| A new formalism, method and open issues for zero-shot coordination J Treutlein, M Dennis, C Oesterheld, J Foerster International Conference on Machine Learning, 10413-10423, 2021 | 33 | 2021 |
| Benefits of Assistance over Reward Learning R Shah, P Freire, N Alex, R Freedman, D Krasheninnikov, L Chan, ... | 29 | |
| MAESTRO: Open-ended environment design for multi-agent reinforcement learning M Samvelyan, A Khan, M Dennis, M Jiang, J Parker-Holder, J Foerster, ... arXiv preprint arXiv:2303.03376, 2023 | 25 | 2023 |
| Grounding Aleatoric Uncertainty in Unsupervised Environment Design M Jiang, M Dennis, J Parker-Holder, A Lupu, H Küttler, E Grefenstette, ... arXiv preprint arXiv:2207.05219, 2022 | 14 | 2022 |
| minimax: Efficient Baselines for Autocurricula in JAX M Jiang, M Dennis, E Grefenstette, T Rocktäschel arXiv preprint arXiv:2311.12716, 2023 | 7 | 2023 |
| Stabilizing unsupervised environment design with a learned adversary I Mediratta, M Jiang, J Parker-Holder, M Dennis, E Vinitsky, T Rocktäschel Conference on Lifelong Learning Agents, 270-291, 2023 | 7 | 2023 |
| Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory A Critch, M Dennis, S Russell arXiv preprint arXiv:2208.07006, 2022 | 7 | 2022 |
| The Stretch Factor of Hexagon-Delaunay Triangulations L Perkovic, M Dennis, DT Türkoğlu Journal of Computational Geometry 12 (2), 86–125-86–125, 2021 | 7 | 2021 |
| Improving Social Welfare While Preserving Autonomy via a Pareto Mediator S McAleer, J Lanier, M Dennis, P Baldi, R Fox arXiv preprint arXiv:2106.03927, 2021 | 5 | 2021 |
| Accumulating Risk Capital Through Investing in Cooperation C Roman, M Dennis, A Critch, S Russell (AAMAS 2021) - 20th International Conference on Autonomous Agents and …, 2021 | 5 | 2021 |
| Refining Minimax Regret for Unsupervised Environment Design M Beukman, S Coward, M Matthews, M Fellows, M Jiang, M Dennis, ... arXiv preprint arXiv:2402.12284, 2024 | 3 | 2024 |
| Who Needs to Know? Minimal Knowledge for Optimal Coordination N Lauffer, A Shah, M Carroll, MD Dennis, S Russell International Conference on Machine Learning, 18599-18613, 2023 | 3 | 2023 |
| The Benefits of Power Regularization in Cooperative Reinforcement Learning M Li, M Dennis Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 1 | 2023 |
