Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Nature, pp. 604-609, 2019.
Constructing agents with planning capabilities has long been one of the main challenges in the pursuit of artificial intelligence. Tree-based planning methods have enjoyed huge success in challenging domains, such as chess and Go, where a perfect simulator is available. However, in real-world problems, the dynamics governing the environme...More
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