Infinite-horizon policy-gradient estimation

Journal of Artificial Intelligence Research, no. 1 (2001): 319-350

Cited: 812|Views19
EI

Abstract

Gradient-based approaches to direct policy search in reinforcement learning have received much recent attention as a means to solve problems of partial observability and to avoid some of the problems associated with policy degradation in value-function methods. In this paper we introduce GPOMDP, a simulation-based algorithm for generating...More

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