| Counterfactual multi-agent policy gradients J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 2408 | 2018 |
| The starcraft multi-agent challenge M Samvelyan, T Rashid, CS De Witt, G Farquhar, N Nardelli, TGJ Rudner, ... arXiv preprint arXiv:1902.04043, 2019 | 1127 | 2019 |
| Stabilising experience replay for deep multi-agent reinforcement learning J Foerster*, N Nardelli*, G Farquhar, T Afouras, PHS Torr, P Kohli, ... International conference on machine learning, 1146-1155, 2017 | 780 | 2017 |
| A survey of reinforcement learning informed by natural language J Luketina, N Nardelli, G Farquhar, J Foerster, J Andreas, E Grefenstette, ... arXiv preprint arXiv:1906.03926, 2019 | 322 | 2019 |
| The nethack learning environment H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ... Advances in Neural Information Processing Systems 33, 7671-7684, 2020 | 184 | 2020 |
| Torchcraft: a library for machine learning research on real-time strategy games G Synnaeve, N Nardelli, A Auvolat, S Chintala, T Lacroix, Z Lin, F Richoux, ... arXiv preprint arXiv:1611.00625, 2016 | 141 | 2016 |
| Playing doom with slam-augmented deep reinforcement learning S Bhatti, A Desmaison, O Miksik, N Nardelli, N Siddharth, PHS Torr arXiv preprint arXiv:1612.00380, 2016 | 99 | 2016 |
| Torchbeast: A pytorch platform for distributed rl H Küttler, N Nardelli, T Lavril, M Selvatici, V Sivakumar, T Rocktäschel, ... arXiv preprint arXiv:1910.03552, 2019 | 62 | 2019 |
| Mvfst-rl: An asynchronous rl framework for congestion control with delayed actions V Sivakumar, O Delalleau, T Rocktäschel, AH Miller, H Küttler, N Nardelli, ... arXiv preprint arXiv:1910.04054, 2019 | 47 | 2019 |
| Value propagation networks N Nardelli, G Synnaeve, Z Lin, P Kohli, PHS Torr, N Usunier arXiv preprint arXiv:1805.11199, 2018 | 35 | 2018 |
| Multitask soft option learning M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ... Conference on Uncertainty in Artificial Intelligence, 969-978, 2020 | 31 | 2020 |
| Counterfactual reasoning about intent for interactive navigation in dynamic environments A Bordallo, F Previtali, N Nardelli, S Ramamoorthy 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 30 | 2015 |
| 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 | 22 | 2022 |
| Wordcraft: An environment for benchmarking commonsense agents M Jiang, J Luketina, N Nardelli, P Minervini, PHS Torr, S Whiteson, ... arXiv preprint arXiv:2007.09185, 2020 | 20 | 2020 |
| Simulation-based inference for global health decisions CS de Witt, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, ... arXiv preprint arXiv:2005.07062, 2020 | 7 | 2020 |
| Lessons from reinforcement learning for biological representations of space A Muryy, N Siddharth, N Nardelli, A Glennerster, PHS Torr Vision Research 174, 79-93, 2020 | 6 | 2020 |
| Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models T Wolf, N Nardelli, J Shawe-Taylor, M Perez-Ortiz arXiv preprint arXiv:2312.06527, 2023 | 2 | 2023 |
| Validation of FLASH for modeling magnetically driven implosions L Ellison, S Davidson, Y De Jong, F Garcia Rubio, E Hansen, J King, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Advances in FLASH for magnetized HED processes F Garcia Rubio, S Davidson, L Ellison, E Hansen, J King, K LeChien, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| The planned diagnostic suite for Pacific Fusion's demonstration facility S Langendorf, A Zylstra, P Knapp, N Nardelli, I Scott, M Jaris, P Datte, ... Bulletin of the American Physical Society, 2024 | | 2024 |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoEmail verificata su cs.ox.ac.uk
