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Hierarchical reinforcement learning in factored MDPs

Olga Kozlova, Olivier Sigaud and Christophe Meyer

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When 2008-07-02
from 14:40 to 15:05
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In this paper, we present the texdyna algorithm designed to solve large Markov Decision Problems with unknown structure by integrating hierarchical abstraction techniques of Semi-Markov Decision Processes and factorization techniques of Factored Markov Decision Processes. We validate our approach on the taxi problem.



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