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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation.

, , , , , и . CoRR, (2020)

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Lu Lu

Jing Lu

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Yanfeng Lu

 

Другие публикации лиц с тем же именем

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation., , , , , , и . AAAI, стр. 15193-15201. AAAI Press, (2024)Surpassing Human-Level Face Verification Performance on LFW with GaussianFace., и . AAAI, стр. 3811-3819. AAAI Press, (2015)Face Recognition Using Face Patch Networks., , и . ICCV, стр. 3288-3295. IEEE Computer Society, (2013)CLEAR: Can Language Models Really Understand Causal Graphs?, , , , , , и . CoRR, (2024)InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding., , , , , , , , и . NeurIPS, (2023)Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation., , , , , и . CoRR, (2020)AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning., , , , и . ICLR, OpenReview.net, (2022)Invariant Causal Representation Learning for Out-of-Distribution Generalization., , , и . ICLR, OpenReview.net, (2022)Learning the Face Prior for Bayesian Face Recognition., и . ECCV (4), том 8692 из Lecture Notes in Computer Science, стр. 119-134. Springer, (2014)Action-Sufficient State Representation Learning for Control with Structural Constraints., , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 9260-9279. PMLR, (2022)