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Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings



Masatoshi Uehara , Ayush Sekhari , Jason D. Lee , Nathan Kallus , Wen Sun


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Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems



Masatoshi Uehara , Ayush Sekhari , Jason D. Lee , Nathan Kallus , Wen Sun


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Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation



Wen Sun , Jian Jin , Weisi Lin


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Provable Benefits of Representational Transfer in Reinforcement Learning



Alekh Agarwal , Yuda Song , Wen Sun , Kaiwen Wang , Mengdi Wang , Xuezhou Zhang


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Online No-regret Model-Based Meta RL for Personalized Navigation



Yuda Song , Ye Yuan , Wen Sun , Kris Kitani


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Learning to Detect Mobile Objects from LiDAR Scans Without Labels



Yurong You , Katie Z Luo , Cheng Perng Phoo , Wei-Lun Chao , Wen Sun , Bharath Hariharan , Mark Campbell , Kilian Q. Weinberger

* Accepted by CVPR 2022. Code is available at https://github.com/YurongYou/MODEST 

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Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception



Yurong You , Katie Z Luo , Xiangyu Chen , Junan Chen , Wei-Lun Chao , Wen Sun , Bharath Hariharan , Mark Campbell , Kilian Q. Weinberger

* Accepted by ICLR 2022. Code is available at https://github.com/YurongYou/Hindsight 

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Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach



Xuezhou Zhang , Yuda Song , Masatoshi Uehara , Mengdi Wang , Alekh Agarwal , Wen Sun


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On the Effectiveness of Iterative Learning Control



Anirudh Vemula , Wen Sun , Maxim Likhachev , J. Andrew Bagnell

* Submitted to L4DC 2022 

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