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

Lex Fridman Podcast

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Advancements in Computer Go: The Rise of AlphaGo

This chapter explores the revolutionary advancements in Computer Go, particularly focusing on the development of the MoGo program and Monte Carlo tree search techniques. It traces the evolution of AlphaGo from its early limitations to its groundbreaking victory over a human champion, emphasizing the impact of deep learning and self-play in its development. The narrative highlights the strategic importance of utilizing expert data and the continuous breakdown of complex challenges in advancing artificial intelligence.

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