Sumetpal Singh

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Classical methods for solving a semi-Markov decision process such as value iteration and policy iteration require precise knowledge of the underlying proba-bilistic model and are known to suuer from the curse of dimensionality. To overcome both these limitations , this paper presents a reinforcement learning approach where one optimizes directly the(More)
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