Follow
Julian Schrittwieser
Julian Schrittwieser
DeepMind
Verified email at furidamu.org - Homepage
Title
Cited by
Cited by
Year
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
148792016
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
83342017
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
Science 362 (6419), 1140-1144, 2018
29322018
Mastering chess and shogi by self-play with a general reinforcement learning algorithm
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
arXiv preprint arXiv:1712.01815, 2017
15982017
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
12852020
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
8042017
Deepmind lab
C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H Küttler, ...
arXiv preprint arXiv:1612.03801, 2016
4652016
& Chen, Y.(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, 0
172
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
1482019
Bayesian optimization in alphago
Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ...
arXiv preprint arXiv:1812.06855, 2018
1062018
Competition-level code generation with alphacode
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
952022
and 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), 484-489, 0
58
et almbox. 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), 484-489, 2016
542016
Online and offline reinforcement learning by planning with a learned model
J Schrittwieser, T Hubert, A Mandhane, M Barekatain, I Antonoglou, ...
Advances in Neural Information Processing Systems 34, 27580-27591, 2021
502021
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
382022
Panneershelvam Veda, Lanctot Marc, et al
S David, H Aja, J Maddison Chris, G Arthur, S Laurent, ...
Mastering the game of go with deep neural networks and tree search. Nature …, 2016
362016
Learning and planning in complex action spaces
T Hubert, J Schrittwieser, I Antonoglou, M Barekatain, S Schmitt, D Silver
International Conference on Machine Learning, 4476-4486, 2021
262021
Procedural generalization by planning with self-supervised world models
A Anand, J Walker, Y Li, E Vértes, J Schrittwieser, S Ozair, T Weber, ...
arXiv preprint arXiv:2111.01587, 2021
172021
Approximate exploitability: Learning a best response in large games
F Timbers, N Bard, E Lockhart, M Lanctot, M Schmid, N Burch, ...
arXiv preprint arXiv:2004.09677, 2020
142020
Local search for policy iteration in continuous control
JT Springenberg, N Heess, D Mankowitz, J Merel, A Byravan, ...
arXiv preprint arXiv:2010.05545, 2020
112020
The system can't perform the operation now. Try again later.
Articles 1–20