Learning Policies for Markov Decision Processes from Data

21 Jan 2017Manjesh K. HanawalHao LiuHenghui ZhuIoannis Ch. Paschalidis

We consider the problem of learning a policy for a Markov decision process consistent with data captured on the state-actions pairs followed by the policy. We assume that the policy belongs to a class of parameterized policies which are defined using features associated with the state-action pairs... (read more)

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