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Feature reinforcement learning in practice

Nguyen, Phuong; Sunehag, Peter; Hutter, Marcus


Following a recent surge in using history-based methods for resolving perceptual aliasing in reinforcement learning, we introduce an algorithm based on the feature reinforcement learning framework called ΦMDP [13]. To create a practical algorithm we devise a stochastic search procedure for a class of context trees based on parallel tempering and a specialized proposal distribution. We provide the first empirical evaluation for ΦMDP. Our proposed algorithm achieves superior performance to the...[Show more]

CollectionsANU Research Publications
Date published: 2011-09
Type: Conference paper
DOI: 10.1007/978-3-642-29946-9_10


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