David Silver
Titolo
Citata da
Citata da
Anno
Human-level control through deep reinforcement learning
V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ...
nature 518 (7540), 529-533, 2015
106472015
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
78102016
Playing atari with deep reinforcement learning
V Mnih, K Kavukcuoglu, D Silver, A Graves, I Antonoglou, D Wierstra, ...
arXiv preprint arXiv:1312.5602, 2013
43332013
Continuous control with deep reinforcement learning
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ...
arXiv preprint arXiv:1509.02971, 2015
37752015
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
37672017
Asynchronous methods for deep reinforcement learning
V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ...
International conference on machine learning, 1928-1937, 2016
34752016
Deep reinforcement learning with double q-learning
H Van Hasselt, A Guez, D Silver
Thirtieth AAAI conference on artificial intelligence, 2016
22312016
Deterministic policy gradient algorithms
D Silver, G Lever, N Heess, T Degris, D Wierstra, M Riedmiller
14672014
Prioritized experience replay
T Schaul, J Quan, I Antonoglou, D Silver
arXiv preprint arXiv:1511.05952, 2015
13562015
Monte-Carlo planning in large POMDPs
D Silver, J Veness
Advances in neural information processing systems, 2164-2172, 2010
7802010
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
6922018
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
6912017
Combining online and offline knowledge in UCT
S Gelly, D Silver
Proceedings of the 24th international conference on Machine learning, 273-280, 2007
6402007
Rainbow: Combining improvements in deep reinforcement learning
M Hessel, J Modayil, H Van Hasselt, T Schaul, G Ostrovski, W Dabney, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
5882018
Reinforcement learning with unsupervised auxiliary tasks
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ...
arXiv preprint arXiv:1611.05397, 2016
5762016
Fast gradient-descent methods for temporal-difference learning with linear function approximation
RS Sutton, HR Maei, D Precup, S Bhatnagar, D Silver, C Szepesvári, ...
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
4562009
Cooperative Pathfinding.
D Silver
AIIDE 1, 117-122, 2005
4552005
Universal value function approximators
T Schaul, D Horgan, K Gregor, D Silver
International conference on machine learning, 1312-1320, 2015
3892015
Emergence of locomotion behaviours in rich environments
N Heess, D TB, S Sriram, J Lemmon, J Merel, G Wayne, Y Tassa, T Erez, ...
arXiv preprint arXiv:1707.02286, 2017
3802017
Feudal networks for hierarchical reinforcement learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
arXiv preprint arXiv:1703.01161, 2017
3412017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20