Understanding policy gradient methods as a class of reinforcement learning algorithms that directly optimize the policy function to maximize rewards.
Policy Gradient Methods 1. Introduction Policy gradient methods are a class of reinforcement learning algorithms that directly learn the policy function that maps states to actions. 2. Key Concepts Policy Function: Represents the mapping from states to actions in reinforcement learning. Objective: Maximize the expected reward by adjusting the policy function. Policy Gradient: Gradient of the po...…
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