Chapter 7: Policy Gradient Algorithms, REINFORCE, Actor-Critic Algorithms, DPG, Hierarchical RL

This section introduces policy gradient methods for directly optimizing policies, detailing the REINFORCE algorithm, Actor-Critic frameworks, Deterministic Policy Gradient (DPG), and approaches to hierarchical reinforcement learning for complex task decomposition.

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