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Differences between Deep Reinforcement Learning and Other Types of Deep Networks
This chapter discusses the distinctions between deep reinforcement learning and other types of deep networks. They explain that while some concepts from supervised learning can be applied to reinforcement learning, there are significant differences due to the agent-environment interaction. They also mention offline RL and the challenges of understanding deep networks in the dynamic RL setting.