On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient

Likelihood ratio policy gradient methods have been some of the most successful reinforcement learning algorithms, especially for learning on physical systems. We describe how the likelihood ratio policy gradient can be derived from an importance sampling perspective... (read more)

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