Policy Gradient Methods for Reinforcement Learning with ...

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policy iteration with general difierentiable function approximation is convergent to a locally optimal policy. Baird and Moore (1999) obtained a weaker but superfl-cially similar result for their VAPS family of methods. Like policy-gradient methods, ... One is the average reward formulation, in which policies are ranked according to ...

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