Statistically Efficient Off-Policy Policy Gradients

10 Feb 2020Nathan KallusMasatoshi Uehara

Policy gradient methods in reinforcement learning update policy parameters by taking steps in the direction of an estimated gradient of policy value. In this paper, we consider the statistically efficient estimation of policy gradients from off-policy data, where the estimation is particularly non-trivial... (read more)

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