Will Dabney
Will Dabney
Verified email at google.com - Homepage
Cited by
Cited by
Rainbow: Combining improvements in deep reinforcement learning
M Hessel, J Modayil, H Van Hasselt, T Schaul, G Ostrovski, W Dabney, ...
arXiv preprint arXiv:1710.02298, 2017
A distributional perspective on reinforcement learning
MG Bellemare*, W Dabney*, R Munos
arXiv preprint arXiv:1707.06887, 2017
Successor features for transfer in reinforcement learning
A Barreto, W Dabney, R Munos, JJ Hunt, T Schaul, HP van Hasselt, ...
Advances in neural information processing systems, 4055-4065, 2017
Distributed distributional deterministic policy gradients
G Barth-Maron, MW Hoffman, D Budden, W Dabney, D Horgan, D Tb, ...
arXiv preprint arXiv:1804.08617, 2018
The cramer distance as a solution to biased wasserstein gradients
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
Distributional reinforcement learning with quantile regression
W Dabney, M Rowland, MG Bellemare, R Munos
arXiv preprint arXiv:1710.10044, 2017
Implicit quantile networks for distributional reinforcement learning
W Dabney, G Ostrovski, D Silver, R Munos
arXiv preprint arXiv:1806.06923, 2018
Recurrent experience replay in distributed reinforcement learning
S Kapturowski, G Ostrovski, J Quan, R Munos, W Dabney
International conference on learning representations, 2018
A distributional code for value in dopamine-based reinforcement learning
W Dabney, Z Kurth-Nelson, N Uchida, CK Starkweather, D Hassabis, ...
Nature 577 (7792), 671-675, 2020
Adaptive Step-Size for Online Temporal Difference Learning.
W Dabney, AG Barto
AAAI, 2012
Rlpy: a value-function-based reinforcement learning framework for education and research
A Geramifard, C Dann, RH Klein, W Dabney, JP How
MIT Press, 2015
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces
S Mahadevan, B Liu, P Thomas, W Dabney, S Giguere, N Jacek, I Gemp, ...
arXiv preprint arXiv:1405.6757, 2014
An analysis of categorical distributional reinforcement learning
M Rowland, MG Bellemare, W Dabney, R Munos, YW Teh
arXiv preprint arXiv:1802.08163, 2018
The reactor: A fast and sample-efficient actor-critic agent for reinforcement learning
A Gruslys, W Dabney, MG Azar, B Piot, M Bellemare, R Munos
arXiv preprint arXiv:1704.04651, 2017
Autoregressive quantile networks for generative modeling
G Ostrovski, W Dabney, R Munos
arXiv preprint arXiv:1806.05575, 2018
Projected natural actor-critic
PS Thomas, WC Dabney, S Giguere, S Mahadevan
Advances in neural information processing systems, 2337-2345, 2013
A geometric perspective on optimal representations for reinforcement learning
M Bellemare, W Dabney, R Dadashi, A Ali Taiga, PS Castro, N Le Roux, ...
Advances in Neural Information Processing Systems 32, 4358-4369, 2019
Utile Distinctions for Relational Reinforcement Learning.
W Dabney, A McGovern
IJCAI 7, 738-743, 2007
Rlpy: The reinforcement learning library for education and research
A Geramifard, RH Klein, C Dann, W Dabney, JP How
Machine Learning Open Source Software, 2013
The termination critic
A Harutyunyan, W Dabney, D Borsa, N Heess, R Munos, D Precup
arXiv preprint arXiv:1902.09996, 2019
The system can't perform the operation now. Try again later.
Articles 1–20