David Silver
Affiliations: | 2009 | University of Alberta, Edmonton, Alberta, Canada |
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Parents
Sign in to add mentor| Richard S. Sutton | grad student | 2009 | University of Alberta | |
| (http://www0.cs.ucl.ac.uk/staff/d.silver/web/Home.html) | ||||
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Publications
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| Mankowitz DJ, Michi A, Zhernov A, et al. (2023) Faster sorting algorithms discovered using deep reinforcement learning. Nature. 618: 257-263 |
| Perolat J, De Vylder B, Hennes D, et al. (2022) Mastering the game of Stratego with model-free multiagent reinforcement learning. Science (New York, N.Y.). 378: 990-996 |
| Matsuo Y, LeCun Y, Sahani M, et al. (2022) Deep learning, reinforcement learning, and world models. Neural Networks : the Official Journal of the International Neural Network Society. 152: 267-275 |
| Schrittwieser J, Antonoglou I, Hubert T, et al. (2020) Mastering Atari, Go, chess and shogi by planning with a learned model. Nature. 588: 604-609 |
| Barreto A, Hou S, Borsa D, et al. (2020) Fast reinforcement learning with generalized policy updates. Proceedings of the National Academy of Sciences of the United States of America |
| Vinyals O, Babuschkin I, Czarnecki WM, et al. (2019) Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature |
| Jaderberg M, Czarnecki WM, Dunning I, et al. (2019) Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science (New York, N.Y.). 364: 859-865 |
| Silver D, Hubert T, Schrittwieser J, et al. (2018) A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science (New York, N.Y.). 362: 1140-1144 |
| Sun R, Silver D, Tesauro G, et al. (2018) Introduction to the special issue on deep reinforcement learning: An editorial. Neural Networks : the Official Journal of the International Neural Network Society |
| Silver D, Schrittwieser J, Simonyan K, et al. (2017) Mastering the game of Go without human knowledge. Nature. 550: 354-359 |