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Infinite-horizon average-cost Markov decision processes are of interest in many scenarios. A dynamic programming algorithm, called the relative value iteration, is used to compute the optimal value function. For large state spaces, this often runs into difficulties due to its computational burden. We propose a simulation-based dynamic program called empirical relative value iteration (ERVI). The idea...
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