Designing Actor and Critic Networks in Reinforcement Learning

The chapter discusses the design of the actor and critic networks in a reinforcement learning system. They mention the importance of state information in reinforcement learning, the different perspectives of the critic and actor, and the skepticism and impressed reactions from experts in plasma physics and control. They also talk about how reinforcement learning controllers have led to interesting physical insights and improvements in precision and control.

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