Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Yingbin Liang

A Unified Off-Policy Evaluation Approach for General Value Function


Jul 06, 2021
Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang

* submitted for publication 

  Access Paper or Ask Questions

Provably Faster Algorithms for Bilevel Optimization


Jun 08, 2021
Junjie Yang, Kaiyi Ji, Yingbin Liang

* This paper was submitted in May 2021 for publication 

  Access Paper or Ask Questions

Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality


Feb 27, 2021
Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang

* Submitted for publication 

  Access Paper or Ask Questions

Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry


Feb 17, 2021
Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang

* To appear in ICLR 2021 

  Access Paper or Ask Questions

Lower Bounds and Accelerated Algorithms for Bilevel Optimization


Feb 07, 2021
Kaiyi Ji, Yingbin Liang

* 33 pages, 1 Table 

  Access Paper or Ask Questions

A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis


Nov 17, 2020
Tengyu Xu, Yingbin Liang, Guanghui Lan

* Submitted for conference publication 

  Access Paper or Ask Questions

Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms


Nov 10, 2020
Tengyu Xu, Yingbin Liang

* Submitted for conference publication 

  Access Paper or Ask Questions

Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning


Oct 15, 2020
Kaiyi Ji, Junjie Yang, Yingbin Liang

* 30 pages, 14 figures, 3 tables 

  Access Paper or Ask Questions

Finite-Time Analysis for Double Q-learning


Oct 12, 2020
Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang

* Accepted to NeurIPS 2020. The camera-ready version will include additional updates 

  Access Paper or Ask Questions

Spectral Algorithms for Community Detection in Directed Networks


Aug 09, 2020
Zhe Wang, Yingbin Liang, Pengsheng Ji

* Journal of Machine Learning Research 2020, to appear 

  Access Paper or Ask Questions

Momentum Q-learning with Finite-Sample Convergence Guarantee


Jul 30, 2020
Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang


  Access Paper or Ask Questions

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent


Jul 15, 2020
Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang

* Proceedings of the Twenty-Ninth International Joint Conference IJCAI20 (2020) 3051-3057 
* This paper extends the work presented at the 2020 International Joint Conferences on Artificial Intelligence with supplementary materials 

  Access Paper or Ask Questions

When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence


Jun 25, 2020
Ziwei Guan, Tengyu Xu, Yingbin Liang

* Submitted for publication 

  Access Paper or Ask Questions

Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization


Jun 17, 2020
Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor

* 43 pages, 6 figures 

  Access Paper or Ask Questions

Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters


Jun 16, 2020
Kaiyi Ji, Jason D. Lee, Yingbin Liang, H. Vincent Poor

* 28 pages, 8 figures, 2 tables 

  Access Paper or Ask Questions

Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms


May 08, 2020
Tengyu Xu, Zhe Wang, Yingbin Liang

* The results of this paper were initially submitted for publication in February 2020 

  Access Paper or Ask Questions

Improving Sample Complexity Bounds for Actor-Critic Algorithms


Apr 28, 2020
Tengyu Xu, Zhe Wang, Yingbin Liang

* 30 pages, 0 figure 

  Access Paper or Ask Questions

Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization


Feb 26, 2020
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh


  Access Paper or Ask Questions

Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms


Feb 20, 2020
Kaiyi Ji, Junjie Yang, Yingbin Liang

* 67 pages, 8 figures 

  Access Paper or Ask Questions

Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack


Feb 17, 2020
Ziwei Guan, Kaiyi Ji, Donald J Bucci Jr, Timothy Y Hu, Joseph Palombo, Michael Liston, Yingbin Liang

* Published at AAAI'20 

  Access Paper or Ask Questions

Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling


Feb 15, 2020
Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang


  Access Paper or Ask Questions

Reanalysis of Variance Reduced Temporal Difference Learning


Jan 10, 2020
Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang

* To appear in ICLR 2020 

  Access Paper or Ask Questions

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization


Oct 27, 2019
Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang

* Published in ICML 2019 

  Access Paper or Ask Questions