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Thomas Hubert
Thomas Hubert
Google Deepmind
Email verificata su google.com
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Citata da
Citata da
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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
116612017
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
49412018
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
26282020
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
24282017
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
10032022
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
6162022
Cyprien de Masson d’Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
3022022
Faster sorting algorithms discovered using deep reinforcement learning
DJ Mankowitz, A Michi, A Zhernov, M Gelmi, M Selvi, C Paduraru, ...
Nature 618 (7964), 257-263, 2023
1662023
Mastering chess and shogi by self-play with a general reinforcement learning algorithm. arXiv 2017
D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...
arXiv preprint arXiv:1712.01815, 2017
1652017
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
1282021
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
912021
Monte-Carlo tree search as regularized policy optimization
JB Grill, F Altché, Y Tang, T Hubert, M Valko, I Antonoglou, R Munos
International Conference on Machine Learning, 3769-3778, 2020
792020
Planning in stochastic environments with a learned model
I Antonoglou, J Schrittwieser, S Ozair, TK Hubert, D Silver
International Conference on Learning Representations, 2021
712021
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
492020
Muzero with self-competition for rate control in vp9 video compression
A Mandhane, A Zhernov, M Rauh, C Gu, M Wang, F Xue, W Shang, ...
arXiv preprint arXiv:2202.06626, 2022
472022
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
22018
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
22017
Computer code generation from task descriptions using neural networks
Y Li, DH Choi, J Chung, NA Kushman, J Schrittwieser, R Leblond, ...
US Patent App. 18/105,211, 2023
12023
Optimizing Memory Mapping Using Deep Reinforcement Learning
P Wang, M Sazanovich, B Ilbeyi, PM Phothilimthana, M Purohit, HY Tay, ...
arXiv preprint arXiv:2305.07440, 2023
12023
Training rate control neural networks through reinforcement learning
A Zhernov, C Gu, DJ Mankowitz, J Schrittwieser, AB Mandhane, ME Rauh, ...
US Patent App. 18/565,008, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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