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TF-Replicator: Distributed Machine Learning for Researchers.

, , , , , , , , , , , и . CoRR, (2019)

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Ana Gómez-Carrillo Castro

Pedro Gómez

Gerardo Gómez Gonzáles

Anne Gómez Caicoya

Ada Silvia Gómez-Braun

 

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Scaling data-driven robotics with reward sketching and batch reinforcement learning., , , , , , , , , и 6 other автор(ы). Robotics: Science and Systems, (2020)Learning to learn by gradient descent by gradient descent., , , , , , и . NIPS, стр. 3981-3989. (2016)RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning., , , , , , , , , и 6 other автор(ы). NeurIPS, (2020)Parallel Multiscale Autoregressive Density Estimation., , , , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2912-2921. PMLR, (2017)Acme: A Research Framework for Distributed Reinforcement Learning., , , , , , , , , и 10 other автор(ы). CoRR, (2020)AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning., , , , , , , , , и 14 other автор(ы). CoRR, (2023)Learning to Learn without Gradient Descent by Gradient Descent., , , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 748-756. PMLR, (2017)RL Unplugged: Benchmarks for Offline Reinforcement Learning., , , , , , , , , и 8 other автор(ы). CoRR, (2020)Regularized Behavior Value Estimation., , , , , , , , , и . CoRR, (2021)Policy Distillation., , , , , , , , и . ICLR (Poster), (2016)