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Adaptive Federated Learning and Digital Twin for Industrial Internet of Things

Nov 01, 2020
Wen Sun, Shiyu Lei, Lu Wang, Zhiqiang Liu, Yan Zhang


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Learning the Linear Quadratic Regulator from Nonlinear Observations

Oct 08, 2020
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford

* To appear at NeurIPS 2020 

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PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning

Aug 13, 2020
Alekh Agarwal, Mikael Henaff, Sham Kakade, Wen Sun


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Information Theoretic Regret Bounds for Online Nonlinear Control

Jun 22, 2020
Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun


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FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs

Jun 18, 2020
Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy, Wen Sun


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Provably Efficient Model-based Policy Adaptation

Jun 14, 2020
Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao


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Constrained episodic reinforcement learning in concave-convex and knapsack settings

Jun 09, 2020
Kianté Brantley, Miroslav Dudik, Thodoris Lykouris, Sobhan Miryoosefi, Max Simchowitz, Aleksandrs Slivkins, Wen Sun


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Arbitrary Style Transfer via Multi-Adaptation Network

May 27, 2020
Yingying Deng, Fan Tang, Weiming Dong, Wen Sun, Feiyue Huang, Changsheng Xu


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Exploration in Action Space

Mar 31, 2020
Anirudh Vemula, Wen Sun, J. Andrew Bagnell

* Presented at RSS 2018 in Learning and Inference in Robotics: Integrating Structure, Priors and Models workshop. arXiv admin note: text overlap with arXiv:1901.11503 

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Corruption Robust Exploration in Episodic Reinforcement Learning

Nov 20, 2019
Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun


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Policy Poisoning in Batch Reinforcement Learning and Control

Oct 31, 2019
Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu

* NeurIPS 2019 

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Optimal Sketching for Kronecker Product Regression and Low Rank Approximation

Sep 29, 2019
Huaian Diao, Rajesh Jayaram, Zhao Song, Wen Sun, David P. Woodruff

* A preliminary version of this paper appeared in NeurIPS 2019 

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Provably Efficient Imitation Learning from Observation Alone

Jun 11, 2019
Wen Sun, Anirudh Vemula, Byron Boots, J. Andrew Bagnell

* ICML 2019 

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Imitation Learning as $f$-Divergence Minimization

May 30, 2019
Liyiming Ke, Matt Barnes, Wen Sun, Gilwoo Lee, Sanjiban Choudhury, Siddhartha Srinivasa


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Efficient Model-free Reinforcement Learning in Metric Spaces

May 01, 2019
Zhao Song, Wen Sun


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Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention

Mar 27, 2019
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li


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Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective

Jan 31, 2019
Anirudh Vemula, Wen Sun, J. Andrew Bagnell

* Accepted at AISTATS 2019 

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Model-Based Reinforcement Learning in Contextual Decision Processes

Nov 21, 2018
Wen Sun, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford

* 30 

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Contextual Memory Trees

Jul 17, 2018
Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro


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Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning

May 29, 2018
Wen Sun, J. Andrew Bagnell, Byron Boots

* ICLR 2018 

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Dual Policy Iteration

May 28, 2018
Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell


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Recurrent Predictive State Policy Networks

Mar 05, 2018
Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha Srinivasa, Geoffrey Gordon


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Sketching for Kronecker Product Regression and P-splines

Dec 27, 2017
Huaian Diao, Zhao Song, Wen Sun, David P. Woodruff

* AISTATS 2018 

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Predictive-State Decoders: Encoding the Future into Recurrent Networks

Sep 25, 2017
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell

* NIPS 2017 

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Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction

Mar 03, 2017
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

* 17 pages 

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Gradient Boosting on Stochastic Data Streams

Mar 01, 2017
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell

* To appear in AISTATS 2017 

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Risk-Aware Algorithms for Adversarial Contextual Bandits

Oct 17, 2016
Wen Sun, Debadeepta Dey, Ashish Kapoor

* 28 pages 

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