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On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control


Jun 15, 2021
Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel


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MARL with General Utilities via Decentralized Shadow Reward Actor-Critic


May 29, 2021
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel


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On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method


Feb 17, 2021
Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvari, Mengdi Wang


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Variational Policy Gradient Method for Reinforcement Learning with General Utilities


Jul 04, 2020
Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvari, Mengdi Wang


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On the Divergence of Decentralized Non-Convex Optimization


Jun 20, 2020
Mingyi Hong, Siliang Zeng, Junyu Zhang, Haoran Sun

* 34 pages 

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Cautious Reinforcement Learning via Distributional Risk in the Dual Domain


Feb 27, 2020
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel


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Multi-Level Composite Stochastic Optimization via Nested Variance Reduction


Aug 29, 2019
Junyu Zhang, Lin Xiao


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A Stochastic Composite Gradient Method with Incremental Variance Reduction


Jun 24, 2019
Junyu Zhang, Lin Xiao


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Highly accurate model for prediction of lung nodule malignancy with CT scans


Feb 06, 2018
Jason Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake Qualls, David G. Politte, Fred Prior, Shuzhong Zhang, Xiuzhen Huang


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Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis


Oct 05, 2017
Junyu Zhang, Shiqian Ma, Shuzhong Zhang


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