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An investigation of model-free planning A Guez, M Mirza, K Gregor, R Kabra, S Racaničre, T Weber, D Raposo, ... International Conference on Machine Learning, 2464-2473, 2019 | 76 | 2019 |
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Learning reciprocity in complex sequential social dilemmas T Eccles, E Hughes, J Kramár, S Wheelwright, JZ Leibo arXiv preprint arXiv:1903.08082, 2019 | 38 | 2019 |
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Learning to play no-press diplomacy with best response policy iteration T Anthony, T Eccles, A Tacchetti, J Kramár, I Gemp, T Hudson, N Porcel, ... Advances in Neural Information Processing Systems 33, 17987-18003, 2020 | 33 | 2020 |
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 | 27 | 2022 |
Reinforcement learning agents acquire flocking and symbiotic behaviour in simulated ecosystems P Sunehag, G Lever, S Liu, J Merel, N Heess, JZ Leibo, E Hughes, ... ALIFE 2019: The 2019 Conference on Artificial Life, 103-110, 2019 | 23 | 2019 |
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A generalist agent, 2022 S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... URL https://arxiv. org/abs/2205.06175 3, 0 | 11 | |
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A generalist Agent. arXiv S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 2022 | 8 | 2022 |
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A Generalist Agent. arXiv 2022 S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 0 | 8 | |