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Mastering the game of Go with deep neural networks and tree search, , , , , , , , , and . (2016)Accelerating Large Language Model Decoding with Speculative Sampling., , , , , and . CoRR, (2023)Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning., , , , , , , , , and 24 other author(s). CoRR, (2022)Mastering Atari, Go, chess and shogi by planning with a learned model., , , , , , , , , and 2 other author(s). Nat., 588 (7839): 604-609 (2020)A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , and 3 other author(s). Science, 362 (6419): 1140--1144 (2018)Improved protein structure prediction using potentials from deep learning., , , , , , , , , and 9 other author(s). Nat., 577 (7792): 706-710 (2020)An empirical analysis of compute-optimal large language model training., , , , , , , , , and 12 other author(s). NeurIPS, (2022)Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination., and . CVPR, page 1233-1240. IEEE Computer Society, (2013)Rigid-Motion Scattering for Texture Classification., and . CoRR, (2014)A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, , , , , , , , , and 1 other author(s). Science, 362 (6419): 1140--1144 (2018)