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Minimax Optimal Online Imitation Learning via Replay Estimation


Jun 02, 2022
Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran


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Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees


May 24, 2022
Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan


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Jump-Start Reinforcement Learning


Apr 05, 2022
Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman

* 20 pages, 10 figures 

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Robust Estimation for Nonparametric Families via Generative Adversarial Networks


Feb 02, 2022
Banghua Zhu, Jiantao Jiao, Michael I. Jordan


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Nearly Optimal Policy Optimization with Stable at Any Time Guarantee


Dec 22, 2021
Tianhao Wu, Yunchang Yang, Han Zhong, Liwei Wang, Simon S. Du, Jiantao Jiao


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Computational Benefits of Intermediate Rewards for Hierarchical Planning


Jul 08, 2021
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma


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MADE: Exploration via Maximizing Deviation from Explored Regions


Jun 18, 2021
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell

* 28 pages, 10 figures 

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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning


Jun 07, 2021
Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr


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Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism


Mar 22, 2021
Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell

* 84 pages, 6 figures 

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