Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems
Reinforcement learning is a promising approach to learning robotics controllers. It has recently been shown that algorithms based on finite-difference estimates of the policy gradient are competitive with algorithms based on the policy gradient theorem. We propose a theoretical framework for underst...
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