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Memory in Chess

Data Skeptic

CHAPTER

Deep Learning and Reinforcement Learning in Chess

The chapter discusses the concept of deep learning and reinforcement learning in chess, exploring how moves can be based on probability and board states. It also touches on the capabilities and limitations of AI in playing games, comparing it to the strategies of beginner players. The chapter concludes with an interest in analyzing Alpha Zero's recorded games and comparing its strategies to those of beginners.

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