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On the convergence of optimistic policy iteration for stochastic shortest path problem

Published 27 Aug 2018 in cs.LG and stat.ML | (1808.08763v2)

Abstract: In this paper, we prove some convergence results of a special case of optimistic policy iteration algorithm for stochastic shortest path problem. We consider both Monte Carlo and $TD(\lambda)$ methods for the policy evaluation step under the condition that the termination state will eventually be reached almost surely.

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