Mastering Atari, Go, chess and shogi by planning with a learned model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41586-020-03051-4.pdf
Reference52 articles.
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4. Machado, M. et al. Revisiting the arcade learning environment: evaluation protocols and open problems for general agents. J. Artif. Intell. Res. 61, 523–562 (2018).
5. Silver, D. et al. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science 362, 1140–1144 (2018).
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