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Action-Sufficient State Representation Learning for Control with Structural Constraints


Oct 12, 2021
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang

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AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning


Jul 07, 2021
Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang

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Nonlinear Invariant Risk Minimization: A Causal Approach


Feb 24, 2021
Chaochao Lu, Yuhuai Wu, Jośe Miguel Hernández-Lobato, Bernhard Schölkopf

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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation


Dec 16, 2020
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

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* Neural Information Processing Systems Workshop on Offline Reinforcement Learning 

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Interpreting Spatially Infinite Generative Models


Jul 24, 2020
Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman

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* ICML 2020 workshop on Human Interpretability in Machine Learning (WHI 2020) 

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Deconfounding Reinforcement Learning in Observational Settings


Dec 26, 2018
Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato

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* 30 pages 

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Surpassing Human-Level Face Verification Performance on LFW with GaussianFace


Dec 20, 2014
Chaochao Lu, Xiaoou Tang

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* Appearing in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), Oral Presentation 

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