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Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration


Oct 12, 2021
Weichao Mao, Tamer Ba┼čar, Lin F. Yang, Kaiqing Zhang


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Decentralized Q-Learning in Zero-sum Markov Games


Jun 04, 2021
Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman Ozdaglar


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Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates


Jan 31, 2021
Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan

* Published at ICLR 2021 

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Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity


Jan 04, 2021
Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Ba┼čar


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Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup


Dec 31, 2020
Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen


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Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs


Oct 07, 2020
Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Ba┼čar


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Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games


Oct 01, 2020
Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Ba┼čar

* To appear in CDC 2020 

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Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity


Jul 15, 2020
Kaiqing Zhang, Sham M. Kakade, Tamer Ba┼čar, Lin F. Yang


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POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis


Jun 08, 2020
Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Ba┼čar


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Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning


Apr 18, 2020
Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Ba┼čar

* Submitted to CDC 2020 

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Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks


Mar 01, 2020
Xingyu Sha, Jiaqi Zhang, Kaiqing Zhang, Keyou You, Tamer Ba┼čar


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Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances


Dec 09, 2019
Kaiqing Zhang, Zhuoran Yang, Tamer Ba┼čar

* This is a invited submission to a Special Issue of the Journal of Frontiers of Information Technology & Electronic Engineering (FITEE). Most of the contents are based on the Sec. 4 in our recent overview arXiv:1911.10635, with focus on the setting of decentralized MARL with networked agents 

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Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms


Nov 24, 2019
Kaiqing Zhang, Zhuoran Yang, Tamer Ba┼čar

* Invited Chapter in Handbook on RL and Control (Springer Studies in Systems, Decision and Control) 

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Non-Cooperative Inverse Reinforcement Learning


Nov 03, 2019
Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Ba┼čar


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Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence


Oct 21, 2019
Kaiqing Zhang, Bin Hu, Tamer Ba┼čar


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Online Planning for Decentralized Stochastic Control with Partial History Sharing


Aug 06, 2019
Kaiqing Zhang, Erik Miehling, Tamer Ba┼čar

* Accepted to American Control Conference (ACC) 2019 

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Stochastic Convergence Results for Regularized Actor-Critic Methods


Jul 13, 2019
Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu


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A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning


Jul 06, 2019
Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Ba┼čar, Romeil Sandhu, Ji Liu


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Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies


Jun 19, 2019
Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Ba┼čar


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Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games


May 31, 2019
Kaiqing Zhang, Zhuoran Yang, Tamer Ba┼čar


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A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning


Mar 18, 2019
Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu


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Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning


Jan 05, 2019
Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Ba┼čar


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Communication-Efficient Distributed Reinforcement Learning


Jan 03, 2019
Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Ba┼čar


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Distributed Learning of Average Belief Over Networks Using Sequential Observations


Nov 19, 2018
Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Ba┼čar

* Accepted to Automatica 

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Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents


Feb 27, 2018
Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Ba┼čar


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