158 citations · 680 across the 25 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★ 158 cited
Path Integral Policy Improvement with Covariance Matrix Adaptation
Freek Stulp, Olivier Sigaud
There has been a recent focus in reinforcement learning on addressing continuous state and action problems by optimizing parameterized policies. PI2 is a recent example of this app…