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피인용 상위 자료
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C.J. and 17 more
(2016) Nature, 529 (7587), pp. 484-489.
Mastering the game of Go without human knowledge.
Silver, D., Schrittwieser, J., Simonyan, K. and 14 more
(2017) Nature, 550 (7676), pp. 354-359.
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.
Silver, D., Hubert, T., Schrittwieser, J. and 10 more
(2018) Science, 362 (6419), pp. 1140-1144.
Deep learning for real-time Atari game play using offline Monte-Carlo tree search planning.
Guo, X., Singh, S., Lee, H. and 2 more
(2014) Advances in Neural Information Processing Systems, 4 (January), pp. 3338-3346.
A neuroevolution approach to general atari game playing.
Hausknecht, M., Lehman, J., Miikkulainen, R. and 1 more
(2014) IEEE Transactions on Computational Intelligence and AI in Games, 6 (4), pp. 355-366.