policy gradient theorem

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The policy gradient theorem is a fundamental result in reinforcement learning that provides a way to compute the gradient of expected return with respect to policy parameters, enabling gradient-based optimization of stochastic policies.

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Richard S. Sutton → notableWork → policy gradient theorem ⓘ