Julian Schrittwieser
Julian Schrittwieser
DeepMind
Verified email at google.com - 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
79822016
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
39032017
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
7362018
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
7032017
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
3452017
Deepmind lab
C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H Küttler, ...
arXiv preprint arXiv:1612.03801, 2016
2352016
& Dieleman, S.(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
125
others. 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
1182016
Mastering atari, go, chess and shogi by planning with a learned model
J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ...
arXiv preprint arXiv:1911.08265, 2019
732019
loannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al
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
512016
Bayesian optimization in alphago
Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ...
arXiv preprint arXiv:1812.06855, 2018
262018
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
142019
Einführung in die Spieltheorie
J Schrittwieser, A Mistlbacher
Unveröffentlichtes Manuskript, 2010
12010
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, 0
1
Training action selection neural networks using look-ahead search
K Simonyan, D Silver, J Schrittwieser
US Patent App. 16/617,478, 2020
2020
Deep Learning Monitor
CT Page, M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, ...
Nature Communications 11 (1), 1760, 2020
2020
Beating the heat by blending
P Szuromi, LB Ray, C Piller, IS Osborne, P Stern, CA Deutsch, ...
Science 362 (6419), 1124-1126, 2018
2018
Units of Measure
J Schrittwieser
2013
Introduction to Game Theory
J Schrittwieser, A Mistlbacher
2010
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
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Articles 1–20