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#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning

Lex Fridman Podcast

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Defining Rewards in Reinforcement Learning

This chapter explores the intricacies of reward and objective functions in reinforcement learning, drawing parallels between human motivations and intelligent systems. It emphasizes the importance of establishing clear goals for effective problem-solving and delves into the philosophical implications of reward functions in both biological and artificial contexts.

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