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Classical Policy Gradient: Preserving Bellman's Principle of Optimality
Published 6 Jun 2019 in cs.LG and stat.ML | (1906.03063v1)
Abstract: We propose a new objective function for finite-horizon episodic Markov decision processes that better captures Bellman's principle of optimality, and provide an expression for the gradient of the objective.
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