| Prioritized level replay M Jiang, E Grefenstette, T Rocktäschel International Conference on Machine Learning, 4940-4950, 2021 | 106 | 2021 |
| Evolving Curricula with Regret-Based Environment Design J Parker-Holder*, M Jiang*, M Dennis, M Samvelyan, J Foerster, ... International Conference on Machine Learning, https://accelagent.github.io, 2022 | 64 | 2022 |
| Minihack the planet: A sandbox for open-ended reinforcement learning research M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ... NeurIPS 2021 Datasets and Benchmarks, 2021 | 61 | 2021 |
| Replay-Guided Adversarial Environment Design M Jiang*, M Dennis*, J Parker-Holder, J Foerster, E Grefenstette, ... NeurIPS 2021, 2021 | 54 | 2021 |
| Improving intrinsic exploration with language abstractions J Mu, V Zhong, R Raileanu, M Jiang, N Goodman, T Rocktäschel, ... NeurIPS 2022, 2022 | 35 | 2022 |
| Motion responsive user interface for realtime language translation AJ Cuthbert, JJ Estelle, MR Hughes, S Goyal, MS Jiang US Patent 9,355,094, 2016 | 25 | 2016 |
| WordCraft: An Environment for Benchmarking Commonsense Agents M Jiang, J Luketina, N Nardelli, P Minervini, PHS Torr, S Whiteson, ... Language in Reinforcement Learning Workshop at ICML 2020, 2020 | 20 | 2020 |
| Exploration via Elliptical Episodic Bonuses M Henaff, R Raileanu, M Jiang, T Rocktäschel NeurIPS 2022, 2022 | 16 | 2022 |
| Insights from the neurips 2021 nethack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022 | 12 | 2022 |
| MAESTRO: Open-ended environment design for multi-agent reinforcement learning M Samvelyan, A Khan, M Dennis, M Jiang, J Parker-Holder, J Foerster, ... International Conference on Learning Representations 2023, 2023 | 7 | 2023 |
| Resolving causal confusion in reinforcement learning via robust exploration C Lyle, A Zhang, M Jiang, J Pineau, Y Gal Self-Supervision for Reinforcement Learning Workshop-ICLR 2021, 2021 | 7 | 2021 |
| General intelligence requires rethinking exploration M Jiang, T Rocktäschel, E Grefenstette Royal Society Open Science 10 (6), 230539, 2023 | 6 | 2023 |
| GriddlyJS: A Web IDE for Reinforcement Learning C Bamford, M Jiang, M Samvelyan, T Rocktäschel NeurIPS 2022 Datasets and Benchmarks, 2022 | 5 | 2022 |
| Grounding Aleatoric Uncertainty for Unsupervised Environment Design M Jiang, M Dennis, J Parker-Holder, A Lupu, H Küttler, E Grefenstette, ... NeurIPS 2022, 2022 | 5 | 2022 |
| Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning Z Jiang, P Minervini, M Jiang, T Rocktäschel AAMAS 2021 (Oral), 2021 | 4 | 2021 |
| A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs M Henaff, M Jiang, R Raileanu International Conference on Machine Learning 2023, 2023 | 3 | 2023 |
| Reward-Free Curricula for Training Robust World Models M Rigter, M Jiang, I Posner arXiv preprint arXiv:2306.09205, 2023 | 2 | 2023 |
| Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design MT Jackson, M Jiang, J Parker-Holder, R Vuorio, C Lu, G Farquhar, ... NeurIPS 2023, 2023 | 1 | 2023 |
| JaxMARL: Multi-Agent RL Environments in JAX A Rutherford, B Ellis, M Gallici, J Cook, A Lupu, G Ingvarsson, T Willi, ... arXiv preprint arXiv:2311.10090, 2023 | 1 | 2023 |
| Stabilizing Unsupervised Environment Design with a Learned Adversary I Mediratta, M Jiang, J Parker-Holder, M Dennis, E Vinitsky, T Rocktäschel CoLLAs 2023 (Oral), 2023 | 1 | 2023 |
Tim RocktäschelProfessor of Artificial Intelligence at UCL, Open-Endedness Team Lead at Google DeepMindVerified email at cs.ucl.ac.uk
