Learning Policies for Markov Decision Processes From Data

We consider the problem of learning a policy for a Markov decision process consistent with data captured on the state-action pairs followed by the policy. We parameterize the policy using features associated with the state-action pairs. The features can be handcrafted or defined using kernel functio...

Ausführliche Beschreibung