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9. Mastering Games with Deep Learning
This text traces the history of artificial intelligence (AI) in game playing, starting with early attempts at programming checkers and chess. It focuses on DeepMind's Deep Q-learning algorithm, which enabled AI to surpass human players in various Atari games. The text then explains AlphaGo,
DeepMind's groundbreaking program that defeated a world champion Go
player, highlighting its use of Monte Carlo tree search and deep
convolutional neural networks to achieve superhuman performance.
Finally, it discusses the significance of AlphaGo's success and its implications for the broader field of AI.
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By Chris GuoThis text traces the history of artificial intelligence (AI) in game playing, starting with early attempts at programming checkers and chess. It focuses on DeepMind's Deep Q-learning algorithm, which enabled AI to surpass human players in various Atari games. The text then explains AlphaGo,
DeepMind's groundbreaking program that defeated a world champion Go
player, highlighting its use of Monte Carlo tree search and deep
convolutional neural networks to achieve superhuman performance.
Finally, it discusses the significance of AlphaGo's success and its implications for the broader field of AI.