| Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ... nature 529 (7587), 484-489, 2016 | 21144 | 2016 |
| Mastering the game of go without human knowledge D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... nature 550 (7676), 354-359, 2017 | 12021 | 2017 |
| Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... nature 575 (7782), 350-354, 2019 | 5130 | 2019 |
| Discovering faster matrix multiplication algorithms with reinforcement learning A Fawzi, M Balog, A Huang, T Hubert, B Romera-Paredes, M Barekatain, ... Nature 610 (7930), 47-53, 2022 | 692 | 2022 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 20, 2019 | 582 | 2019 |
| Move evaluation in Go using deep convolutional neural networks CJ Maddison, A Huang, I Sutskever, D Silver arXiv preprint arXiv:1412.6564, 2014 | 189 | 2014 |
| Bayesian optimization in alphago Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ... arXiv preprint arXiv:1812.06855, 2018 | 167 | 2018 |
| & Hassabis, D.(2017). Mastering the game of Go without human knowledge D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... Nature 550 (7676), 354-359, 0 | 110 | |
| Yutian chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis.“Mastering the game of Go without human knowledge” D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... Nature 550, 354-359, 2017 | 108 | 2017 |
| Monte-Carlo simulation balancing in practice SC Huang, R Coulom, SS Lin International Conference on Computers and Games, 81-92, 2010 | 76 | 2010 |
| MoHex 2.0: A Pattern-Based MCTS Hex Player SC Huang, B Arneson, RB Hayward, M Müller, J Pawlewicz International Conference on Computers and Games, 60-71, 2013 | 73 | 2013 |
| Starcraft ii unplugged: Large scale offline reinforcement learning M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ... Deep RL Workshop NeurIPS 2021, 2021 | 29 | 2021 |
| Time management for Monte-Carlo tree search applied to the game of Go SC Huang, R Coulom, SS Lin 2010 International Conference on Technologies and Applications of Artificial …, 2010 | 27 | 2010 |
| Investigating the limits of Monte-Carlo tree search methods in computer Go SC Huang, M Müller International Conference on Computers and Games, 39-48, 2013 | 19 | 2013 |
| Alphastar unplugged: Large-scale offline reinforcement learning M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ... arXiv preprint arXiv:2308.03526, 2023 | 14 | 2023 |
| MOHEX Wins Hex Tournament R Hayward, B Arneson, SC Huang, J Pawlewicz ICGA Journal 36 (3), 180-183, 2013 | 12 | 2013 |
| Lai D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... M., Bolton, A., Chen, Y., Lillicrap, T., Hui, F., Sifre, L., van den, 2018 | 7 | 2018 |
| Monte-Carlo simulation balancing applied to 9x9 Go SC Huang, R Coulom, SS Lin Icga Journal 33 (4), 191-201, 2010 | 4 | 2010 |
| An efficient approach to solve Mastermind optimally LT Huang, ST Chen, SC Huang, SS Lin ICGA Journal 30 (3), 143-149, 2007 | 1 | 2007 |
| 應用於電腦圍棋之蒙地卡羅樹搜尋法的新啟發式演算法 SC Huang 臺灣師範大學資訊工程研究所學位論文 2011, 1-91, 2011 | | 2011 |
David SilverDeepMind, UCLایمیل تأیید شده در google.com
