A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play | ScienceCookie Absent This website requires cookies to function properly. Please enable cookies in your browser and try again.
[1712.01815] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game
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