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Understanding Self-Predictive Learning for Reinforcement Learning.

, , , , , , , , , , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 33632-33656. PMLR, (2023)

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Le Lan

Le Lan

Le Ngoc Lan

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Charline Gentric

 

Другие публикации лиц с тем же именем

LieTransformer: Equivariant self-attention for Lie Groups., , , , , и . CoRR, (2020)LieTransformer: Equivariant Self-Attention for Lie Groups., , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4533-4543. PMLR, (2021)Understanding Self-Predictive Learning for Reinforcement Learning., , , , , , , , , и 6 other автор(ы). ICML, том 202 из Proceedings of Machine Learning Research, стр. 33632-33656. PMLR, (2023)On the Generalization of Representations in Reinforcement Learning., , , , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 4132-4157. PMLR, (2022)A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces., , , , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 1703-1718. PMLR, (2023)Bootstrapped Representations in Reinforcement Learning., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 18686-18713. PMLR, (2023)Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks., , , , , , и . ICLR, OpenReview.net, (2023)Metrics and Continuity in Reinforcement Learning., , и . AAAI, стр. 8261-8269. AAAI Press, (2021)Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders., , , , и . NeurIPS, стр. 12544-12555. (2019)Revisiting Bisimulation: A Sampling-Based State Similarity Pseudo-metric., и . Tiny Papers @ ICLR, OpenReview.net, (2023)