papers
Publications (11)
cs.LG2019
An investigation of model-free planning
Arthur Guez, Mehdi Mirza, Karol Gregor +10
cs.AI2018
Learning to Search with MCTSnets
Arthur Guez, Théophane Weber, Ioannis Antonoglou +5
cs.AI2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver, Thomas Hubert, Julian Schrittwieser +10
cs.LG2018
Imagination-Augmented Agents for Deep Reinforcement Learning
Théophane Weber, Sébastien Racanière, David P. Reichert +12
cs.LG2015
Deep Reinforcement Learning with Double Q-learning
Hado van Hasselt, Arthur Guez, David Silver
cs.AI2014
Better Optimism By Bayes: Adaptive Planning with Rich Models
Arthur Guez, David Silver, Peter Dayan
cs.LG2017
The Predictron: End-To-End Learning and Planning
David Silver, Hado van Hasselt, Matteo Hessel +8
cs.AI2015
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare, Georg Ostrovski, Arthur Guez +2
cs.LG2016
Learning values across many orders of magnitude
Hado van Hasselt, Arthur Guez, Matteo Hessel +2
cs.LG2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing, Theophane Weber, Yori Zwols +4
cs.LG2013
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver, Peter Dayan