Reinforcement Learning Origins
Michael discusses the evolution of reinforcement learning, highlighting its roots in behavior and learning. He shares his journey from grappling with neural networks to discovering the significance of Rich's work on Q-learning, which addressed critical challenges in earlier research. The conversation reveals the interconnectedness of computation, learning, and real-world behavior, emphasizing the transformative power of collaboration and mentorship in the field.In this clip
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Lex Fridman Podcast
Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
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