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Accelerating Large Language Model Decoding with Speculative Sampling., , , , , and . CoRR, (2023)Mastering the game of Go with deep neural networks and tree search, , , , , , , , , and . (2016)Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning., , , , , , , , , and 24 other author(s). CoRR, (2022)Unified Scaling Laws for Routed Language Models., , , , , , , , , and 16 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 4057-4086. PMLR, (2022)Learning to Navigate in Complex Environments., , , , , , , , , and 2 other author(s). ICLR (Poster), OpenReview.net, (2017)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)Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model, , , , , , , , , and 2 other author(s). (2019)cite arxiv:1911.08265.Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning"., , , , , , , , , and 24 other author(s). (October 2022)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)An empirical analysis of compute-optimal large language model training., , , , , , , , , and 12 other author(s). NeurIPS, (2022)