265 citations · 489 across the 6 of their papers we have counts for
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cs.LG2012★ 11 cited
Chi-square Tests Driven Method for Learning the Structure of Factored MDPs
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuillemin
SDYNA is a general framework designed to address large stochastic reinforcement learning problems. Unlike previous model based methods in FMDPs, it incrementally learns the structu…
cs.LG2012★ 53 cited
Off-Policy Actor-Critic
Thomas Degris, Martha White, Richard S. Sutton
This paper presents the first actor-critic algorithm for off-policy reinforcement learning. Our algorithm is online and incremental, and its per-time-step complexity scales linearl…