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| 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 | 267 | 2020 |
| Deep reinforcement learning with relational inductive biases V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ... | 215* | 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 | 53* | 2019 |
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| Consistent jumpy predictions for videos and scenes A Kumar, SMA Eslami, D Rezende, M Garnelo, F Viola, E Lockhart, ... | 27* | 2018 |
| Approximate exploitability: Learning a best response in large games F Timbers, E Lockhart, M Lanctot, M Schmid, J Schrittwieser, T Hubert, ... arXiv preprint arXiv:2004.09677, 2020 | 3 | 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 | 1 | 2020 |
| Solving Common-Payoff Games with Approximate Policy Iteration S Sokota, E Lockhart, F Timbers, E Davoodi, R D'Orazio, N Burch, ... arXiv preprint arXiv:2101.04237, 2021 | | 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 | | 2020 |
| 35TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2018 LM Nguyen, K Scheinberg, M Takáč, PH Nguyen, M Van Dijk, P Richtárik, ... | | 2018 |
