| Mastering atari, go, chess and shogi by planning with a learned model J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ... Nature 588 (7839), 604-609, 2020 | 2460 | 2020 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... International Conference on Machine Learning, 2410-2419, 2018 | 1012 | 2018 |
| Parallel wavenet: Fast high-fidelity speech synthesis A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ... International conference on machine learning, 3918-3926, 2018 | 1009 | 2018 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 949 | 2021 |
| Deep reinforcement learning with relational inductive biases V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ... | 510* | 2018 |
| OpenSpiel: A framework for reinforcement learning in games M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ... arXiv preprint arXiv:1908.09453, 2019 | 293 | 2019 |
| Mastering the game of Stratego with model-free multiagent reinforcement learning J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ... Science 378 (6623), 990-996, 2022 | 197 | 2022 |
| Computing approximate equilibria in sequential adversarial games by exploitability descent E Lockhart, M Lanctot, J Pérolat, JB Lespiau, D Morrill, F Timbers, K Tuyls arXiv preprint arXiv:1903.05614, 2019 | 78 | 2019 |
| Consistent jumpy predictions for videos and scenes A Kumar, SMA Eslami, D Rezende, M Garnelo, F Viola, E Lockhart, ... | 48* | 2018 |
| Approximate exploitability: Learning a best response in large games F Timbers, N Bard, E Lockhart, M Lanctot, M Schmid, N Burch, ... arXiv preprint arXiv:2004.09677, 2020 | 45 | 2020 |
| Scaling Language Models: Methods JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... Analysis & Insights from Training Gopher. arXiv, 2021 | 26 | 2021 |
| Solving common-payoff games with approximate policy iteration S Sokota, E Lockhart, F Timbers, E Davoodi, R D'Orazio, N Burch, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9695-9703, 2021 | 18 | 2021 |
| Fast computation of Nash equilibria in imperfect information games R Munos, J Perolat, JB Lespiau, M Rowland, B De Vylder, M Lanctot, ... International Conference on Machine Learning, 7119-7129, 2020 | 11 | 2020 |
| Human-agent cooperation in bridge bidding E Lockhart, N Burch, N Bard, S Borgeaud, T Eccles, L Smaira, R Smith arXiv preprint arXiv:2011.14124, 2020 | 7 | 2020 |
| 35TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2018 LM Nguyen, K Scheinberg, M Takáč, PH Nguyen, M Van Dijk, P Richtárik, ... | | 2018 |
