Reinforcement Learning Insights
The discussion highlights the groundbreaking impact of TD Gammon on reinforcement learning, showcasing how it shifted from supervised learning to a self-training model. Insights reveal the challenges faced in applying neural networks to reinforcement learning, with a nod to Jerry's unique ability to achieve results where others struggled. The conversation underscores the excitement and pitfalls of extrapolating early successes to broader, more complex problems 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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