Active Exploration in Markov Decision Processes

28 Feb 2019 Jean Tarbouriech Alessandro Lazaric

We introduce the active exploration problem in Markov decision processes (MDPs). Each state of the MDP is characterized by a random value and the learner should gather samples to estimate the mean value of each state as accurately as possible... (read more)

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