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 | 19618 | 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 | 11214 | 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 | 4586 | 2019 |
Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 20, 2019 | 555 | 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 | 539 | 2022 |
& Hassabis, D.(2016) D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche Mastering the game of go without human knowledge. nature 550 (7676), 354-359, 2016 | 342 | 2016 |
Move evaluation in Go using deep convolutional neural networks CJ Maddison, A Huang, I Sutskever, D Silver arXiv preprint arXiv:1412.6564, 2014 | 187 | 2014 |
Bayesian optimization in alphago Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ... arXiv preprint arXiv:1812.06855, 2018 | 157 | 2018 |
Monte-Carlo simulation balancing in practice SC Huang, R Coulom, SS Lin Computers and Games: 7th International Conference, CG 2010, Kanazawa, Japan …, 2011 | 74 | 2011 |
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 | 71 | 2013 |
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 | 21 | 2010 |
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 | 18 | 2021 |
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 | 18 | 2013 |
IoannisAntonoglou D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G van den Driessche, ... Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham …, 2016 | 15 | 2016 |
Mohex wins Hex tournament RB Hayward, B Arneson, SC Huang, J Pawlewicz ICGA Journal 36 (3), 180-183, 2013 | 13 | 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 | 8 | 2023 |
Thore Graepel, Thore and Demis Hassabis D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G van den Driessche, ... Mastering the Game of Go with Deep Neural Networks and Tree Search.” Nature …, 2016 | 3 | 2016 |
Monte-Carlo simulation balancing applied to 9x9 Go SC Huang, R Coulom, SS Lin Icga Journal 33 (4), 191-201, 2010 | 3 | 2010 |
Adrian Bolton και others D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... Mastering the game of go without human knowledge. nature 550 (7676), 354-359, 2017 | 2 | 2017 |
& Hassabis, D.(2016). 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, 0 | 2 | |