Policy gradient method

Common card · No. 271775

Policy gradient methods are a class of reinforcement learning algorithms and a sub-class of policy optimization methods. Unlike value-based methods which learn a value function to derive a policy, policy optimization methods directly learn a policy function π that selects actions without consulting a value function. For policy gradient to apply, the policy function πθ is parameterized by a differentiable parameter θ.

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