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#106 – Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind

Lex Fridman Podcast

CHAPTER

Revolutionizing Reinforcement Learning

This chapter discusses a novel approach to reinforcement learning that emphasizes a distributional representation of value signals instead of a single expected reward. It highlights the advantages of maintaining probability distributions of outcomes, which enhances the effectiveness of decision-making in complex tasks.

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