David Silver

Value Iteration with Options and State Aggregation

Kamil Ciosek, David Silver

Unit Tests for Stochastic Optimization

Tom Schaul, Ioannis Antonoglou, David Silver

Comments Final submission to ICLR 2014 (revised according to reviews, additional results added)

Better Optimism By Bayes: Adaptive Planning with Rich Models

Arthur Guez, David Silver, Peter Dayan

Comments 11 pages, 11 figures

Learning to Win by Reading Manuals in a Monte-Carlo Framework

S. R. K. Branavan, David Silver, Regina Barzilay

Journal ref Journal Of Artificial Intelligence Research, Volume 43, pages 661-704, 2012

Playing Atari with Deep Reinforcement Learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller

Comments NIPS Deep Learning Workshop 2013

Compositional Planning Using Optimal Option Models

David Silver, Kamil Ciosek

Comments Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012)

A Monte Carlo AIXI Approximation

Joel Veness, Kee Siong Ng, Marcus Hutter, William Uther, David Silver

Comments 51 LaTeX pages, 11 figures, 6 tables, 4 algorithms

Reinforcement Learning via AIXI Approximation

Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver

Comments 8 LaTeX pages, 1 figure

Journal ref Proc. 24th AAAI Conference on Artificial Intelligence (AAAI 2010) pages 605-611