Kaiqing Zhang - RankMe

152 papers A* 38A 3B 2C 6Misc 2Journal 84Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II. CoRR Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra
2026	J	`jnl`	Online Learning and Equilibrium Computation with Ranking Feedback. CoRR Mingyang Liu, Yongshan Chen, Zhiyuan Fan, Gabriele Farina, Asuman Ozdaglar, Kaiqing Zhang
2026	J	`jnl`	Partially Observable Multiagent Reinforcement Learning with Information Sharing. SIAM J. Control. Optim. Xiangyu Liu, Kaiqing Zhang
2026	J	`jnl`	Principled Learning-to-Communicate with Quasi-Classical Information Structures. CoRR Xiangyu Liu, Haoyi You, Kaiqing Zhang
2025	J	`jnl`	Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs. J. Mach. Learn. Res. Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic
2025	A*	`conf`	Do LLM Agents Have Regret? A Case Study in Online Learning and Games. ICLR Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang
2025	A*	`conf`	Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making. AAAI Kaiqing Zhang
2025	—	`conf`	MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. ACL (1) Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim
2025	J	`jnl`	MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. CoRR Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim
2025	J	`jnl`	Model-Free Nonstationary Reinforcement Learning: Near-Optimal Regret and Applications in Multiagent Reinforcement Learning and Inventory Control. Manag. Sci. Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2025	J	`jnl`	Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach. CoRR Chanwoo Park, Ziyang Chen, Asuman E. Ozdaglar, Kaiqing Zhang
2025	—	`conf`	Principled Learning-to-Communicate with Quasi-Classical Information Structures. CDC Xiangyu Liu, Haoyi You, Kaiqing Zhang
2025	C	`conf`	Unsupervised Indoor Relative Positioning and Group Proximity Prediction Based on CIR Graph Convolutional Network and MDS Embedding. IPCCC Kaiqing Zhang, Xuemin Hong, Ao Peng
2024	J	`jnl`	Do LLM Agents Have Regret? A Case Study in Online Learning and Games. CoRR Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang
2024	J	`jnl`	Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2024	A*	`conf`	Provable Partially Observable Reinforcement Learning with Privileged Information. NeurIPS Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang
2024	J	`jnl`	Provable Partially Observable Reinforcement Learning with Privileged Information. CoRR Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang
2024	J	`jnl`	RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation. CoRR Chanwoo Park, Mingyang Liu, Dingwen Kong, Kaiqing Zhang, Asuman E. Ozdaglar
2024	A*	`conf`	Robot Fleet Learning via Policy Merging. ICLR Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
2024	A*	`conf`	Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. EC Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2023	A*	`conf`	A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. NeurIPS Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2023	J	`jnl`	A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2023	A*	`conf`	Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. COLT Qiwen Cui, Kaiqing Zhang, Simon S. Du
2023	J	`jnl`	Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. CoRR Qiwen Cui, Kaiqing Zhang, Simon S. Du
2023	A	`conf`	Byzantine-Robust Online and Offline Distributed Reinforcement Learning. AISTATS Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
2023	—	`conf`	Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra
2023	A*	`conf`	Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake
2023	J	`jnl`	Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use. CoRR Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake
2023	A*	`conf`	Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. NeurIPS Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
2023	J	`jnl`	Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs. CoRR Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
2023	A*	`conf`	Learning to Extrapolate: A Transductive Approach. ICLR Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal
2023	J	`jnl`	Learning to Extrapolate: A Transductive Approach. CoRR Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal
2023	J	`jnl`	Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity. J. Mach. Learn. Res. Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang
2023	A*	`conf`	Multi-Player Zero-Sum Markov Games with Networked Separable Interactions. NeurIPS Chanwoo Park, Kaiqing Zhang, Asuman E. Ozdaglar
2023	J	`jnl`	Multi-Player Zero-Sum Markov Games with Networked Separable Interactions. CoRR Chanwoo Park, Kaiqing Zhang, Asuman E. Ozdaglar
2023	A*	`conf`	Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing. ICML Xiangyu Liu, Kaiqing Zhang
2023	J	`jnl`	Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing. CoRR Xiangyu Liu, Kaiqing Zhang
2023	A*	`conf`	Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. ICML Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2023	A*	`conf`	Self-Supervised Reinforcement Learning that Transfers using Random Features. NeurIPS Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta
2023	J	`jnl`	Self-Supervised Reinforcement Learning that Transfers using Random Features. CoRR Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta
2023	A	`conf`	Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence. AISTATS Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar
2023	A*	`conf`	Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective. COLT Max Simchowitz, Abhishek Gupta, Kaiqing Zhang
2023	J	`jnl`	Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective. CoRR Max Simchowitz, Abhishek Gupta, Kaiqing Zhang
2023	A*	`conf`	The Complexity of Markov Equilibrium in Stochastic Games. COLT Constantinos Daskalakis, Noah Golowich, Kaiqing Zhang
2023	A*	`conf`	The Power of Regularization in Solving Extensive-Form Games. ICLR Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang
2023	—	`conf`	Toward Understanding State Representation Learning in MuZero: A Case Study in Linear Quadratic Gaussian Control. CDC Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra
2023	J	`jnl`	Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2023	J	`jnl`	Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup. IEEE Trans. Signal Process. Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen
2023	J	`jnl`	Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. CoRR Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2022	J	`jnl`	An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. CoRR Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
2022	J	`jnl`	Byzantine-Robust Online and Offline Distributed Reinforcement Learning. CoRR Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu
2022	J	`jnl`	Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? CoRR Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra
2022	J	`jnl`	Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning. IEEE Trans. Control. Netw. Syst. Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Basar
2022	C	`conf`	Convergence and optimality of policy gradient primal-dual method for constrained Markov decision processes. ACC Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic
2022	J	`jnl`	Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs. CoRR Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic
2022	C	`conf`	Discrete Approximate Information States in Partially Observable Environments. ACC Lujie Yang, Kaiqing Zhang, Alexandre Amice, Yunzhu Li, Russ Tedrake
2022	A*	`conf`	Do Differentiable Simulators Give Better Policy Gradients? ICML Hyung Ju Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake
2022	J	`jnl`	Do Differentiable Simulators Give Better Policy Gradients? CoRR H. J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake
2022	J	`jnl`	Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision? CoRR Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake
2022	A*	`conf`	Fictitious Play in Markov Games with Single Controller. EC Muhammed O. Sayin, Kaiqing Zhang, Asuman E. Ozdaglar
2022	J	`jnl`	Fictitious Play in Markov Games with Single Controller. CoRR Muhammed O. Sayin, Kaiqing Zhang, Asuman E. Ozdaglar
2022	J	`jnl`	Fully asynchronous policy evaluation in distributed reinforcement learning over networks. Autom. Xingyu Sha, Jiaqi Zhang, Keyou You, Kaiqing Zhang, Tamer Basar
2022	A*	`conf`	Globally Convergent Policy Search for Output Estimation. NeurIPS Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake
2022	J	`jnl`	Globally Convergent Policy Search over Dynamic Filters for Output Estimation. CoRR Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake
2022	A*	`conf`	Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. ICML Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
2022	J	`jnl`	Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. CoRR Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic
2022	A*	`conf`	On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning. ICML Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar
2022	J	`jnl`	Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. CoRR Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2022	J	`jnl`	Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence. CoRR Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar
2022	J	`jnl`	The Complexity of Markov Equilibrium in Stochastic Games. CoRR Constantinos Daskalakis, Noah Golowich, Kaiqing Zhang
2022	J	`jnl`	The Power of Regularization in Solving Extensive-Form Games. CoRR Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang
2022	J	`jnl`	Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2022	A*	`conf`	What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2022	J	`jnl`	What is a Good Metric to Study Generalization of Minimax Learners? CoRR Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2021	J	`jnl`	Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration. CoRR Weichao Mao, Tamer Basar, Lin F. Yang, Kaiqing Zhang
2021	A*	`conf`	Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. AAAI Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh
2021	J	`jnl`	Decentralized Q-Learning in Zero-sum Markov Games. CoRR Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman E. Ozdaglar
2021	A*	`conf`	Decentralized Q-learning in Zero-sum Markov Games. NeurIPS Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman E. Ozdaglar
2021	J	`jnl`	Decentralized multi-agent reinforcement learning with networked agents: recent advances. Frontiers Inf. Technol. Electron. Eng. Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2021	A*	`conf`	Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. NeurIPS Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar
2021	J	`jnl`	Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. CoRR Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar
2021	J	`jnl`	Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents. IEEE Trans. Autom. Control. Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2021	J	`jnl`	Independent Learning in Stochastic Games. CoRR Asuman E. Ozdaglar, Muhammed O. Sayin, Kaiqing Zhang
2021	J	`jnl`	Influence of behavioral state on the neuromodulatory effect of low-intensity transcranial ultrasound stimulation on hippocampal CA1 in mouse. NeuroImage Xingran Wang, Yiyao Zhang, Kaiqing Zhang, Yi Yuan
2021	J	`jnl`	Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates. CoRR Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan
2021	A*	`conf`	Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates. ICLR Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan
2021	A*	`conf`	Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2021	J	`jnl`	Policy Optimization for ℋ SIAM J. Control. Optim. Kaiqing Zhang, Bin Hu, Tamer Basar
2021	A*	`conf`	Reinforcement Learning for Cost-Aware Markov Decision Processes. ICML Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David N. Kraemer
2021	—	`—`	Reinforcement learning for multi-agent and robust control systems Kaiqing Zhang
2021	J	`jnl`	The Effect of Low-Intensity Transcranial Ultrasound Stimulation on Neural Oscillation and Hemodynamics in the Mouse Visual Cortex Depends on Anesthesia Level and Ultrasound Intensity. IEEE Trans. Biomed. Eng. Yi Yuan, Kaiqing Zhang, Yiyao Zhang, Jiaqing Yan, Zhijie Wang, Xingran Wang, Mengyang Liu, Xiaoli Li
2020	A*	`conf`	An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods. NeurIPS Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin
2020	C	`conf`	Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. ACC Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games. CoRR Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup. CoRR Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen
2020	J	`jnl`	Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks. CoRR Xingyu Sha, Jiaqi Zhang, Kaiqing Zhang, Keyou You, Tamer Basar
2020	J	`jnl`	Distributed learning of average belief over networks using sequential observations. Autom. Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar
2020	J	`jnl`	Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. SIAM J. Control. Optim. Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2020	—	`conf`	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CDC Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning. CoRR Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	A*	`conf`	Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity. NeurIPS Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang
2020	J	`jnl`	Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity. CoRR Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang
2020	A*	`conf`	Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes. NeurIPS Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo R. Jovanovic
2020	J	`jnl`	Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs. CoRR Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
2020	A*	`conf`	On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems. NeurIPS Kaiqing Zhang, Bin Hu, Tamer Basar
2020	A*	`conf`	POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. NeurIPS Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
2020	J	`jnl`	POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. CoRR Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
2020	—	`conf`	Policy Optimization for H L4DC Kaiqing Zhang, Bin Hu, Tamer Basar
2020	—	`conf`	Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CDC Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	J	`jnl`	Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games. CoRR Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Basar
2020	A*	`conf`	Robust Multi-Agent Reinforcement Learning with Model Uncertainty. NeurIPS Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar
2019	—	`conf`	A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CDC Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu
2019	J	`jnl`	A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu
2019	J	`jnl`	A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu
2019	—	`conf`	Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning. CDC Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	J	`jnl`	Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances. CoRR Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	J	`jnl`	Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies. CoRR Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	J	`jnl`	Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. CoRR Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	A*	`conf`	Non-Cooperative Inverse Reinforcement Learning. NeurIPS Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	J	`jnl`	Non-Cooperative Inverse Reinforcement Learning. CoRR Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	C	`conf`	Online Planning for Decentralized Stochastic Control with Partial History Sharing. ACC Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	J	`jnl`	Online Planning for Decentralized Stochastic Control with Partial History Sharing. CoRR Kaiqing Zhang, Erik Miehling, Tamer Basar
2019	A*	`conf`	Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. NeurIPS Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	J	`jnl`	Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. CoRR Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	J	`jnl`	Policy Optimization for H CoRR Kaiqing Zhang, Bin Hu, Tamer Basar
2019	Misc	`conf`	Policy Search in Infinite-Horizon Discounted Reinforcement Learning: Advances through Connections to Non-Convex Optimization : Invited Presentation. CISS Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar
2019	J	`jnl`	Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels. IEEE Trans. Signal Process. Alec Koppel, Kaiqing Zhang, Hao Zhu, Tamer Basar
2019	J	`jnl`	Stochastic Convergence Results for Regularized Actor-Critic Methods. CoRR Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu
2018	—	`conf`	A Finite Sample Analysis of the Actor-Critic Algorithm. CDC Zhuoran Yang, Kaiqing Zhang, Mingyi Hong, Tamer Basar
2018	J	`jnl`	Communication-Efficient Distributed Reinforcement Learning. CoRR Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Basar
2018	C	`conf`	Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. ACC Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar
2018	J	`jnl`	Distributed Equilibrium-Learning for Power Network Voltage Control With a Locally Connected Communication Network. CoRR Kaiqing Zhang, Wei Shi, Hao Zhu, Tamer Basar
2018	J	`jnl`	Distributed Learning of Average Belief Over Networks Using Sequential Observations. CoRR Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Basar
2018	J	`jnl`	Dynamic Power Distribution System Management With a Locally Connected Communication Network. CoRR Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar
2018	J	`jnl`	Dynamic Power Distribution System Management With a Locally Connected Communication Network. IEEE J. Sel. Top. Signal Process. Kaiqing Zhang, Wei Shi, Hao Zhu, Emiliano Dall'Anese, Tamer Basar
2018	J	`jnl`	Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning. CoRR Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2018	A*	`conf`	Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. ICML Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2018	J	`jnl`	Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. CoRR Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2018	—	`conf`	Networked Multi-Agent Reinforcement Learning in Continuous Spaces. CDC Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2018	A	`conf`	Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. AISTATS Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang
2018	—	`conf`	Projected Stochastic Primal-Dual Method for Constrained Online Learning with Kernels. CDC Kaiqing Zhang, Hao Zhu, Tamer Basar, Alec Koppel
2017	—	`conf`	A game-theoretic approach for communication-free voltage-VAR optimization. GlobalSIP Kaiqing Zhang, Hao Zhu
2017	J	`jnl`	Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch. IEEE Intell. Syst. Yingchen Zhang, Rui Yang, Kaiqing Zhang, Huaiguang Jiang, Jun Jason Zhang
2017	—	`conf`	Parameter Sensitivity and Dependency Analysis for the WECC Dynamic Composite Load Model. HICSS Kaiqing Zhang, Siming Guo, Hao Zhu
2016	—	`conf`	On the performance of map-aware cooperative localization. ICC Kaiqing Zhang, Yuan Shen, Moe Z. Win
2015	—	`conf`	An area state-aided indoor localization algorithm and its implementation. ICC Workshops Kaiqing Zhang, Hong Hu, Wenhan Dai, Yuan Shen, Moe Z. Win
2015	J	`jnl`	Enhanced multi-parameter cognitive architecture for future wireless communications. IEEE Commun. Mag. Feifei Gao, Kaiqing Zhang
2015	J	`jnl`	Indoor Localization Algorithm For Smartphones. CoRR Kaiqing Zhang, Hong Hu, Wenhan Dai, Yuan Shen, Moe Z. Win
2015	B	`conf`	Sequential Detection Aided Modulation Classification in Cognitive Radio Networks. GLOBECOM Lubing Han, Feifei Gao, Kaiqing Zhang, Shun Zhang
2015	B	`conf`	Spectrum prediction and channel selection for sensing-based spectrum sharing scheme using online learning techniques. PIMRC Zhao Zhang, Kaiqing Zhang, Feifei Gao, Shun Zhang
2014	J	`jnl`	Enhanced Multi-Parameter Cognitive Architecture for Future Wireless Communications. CoRR Kaiqing Zhang, Feifei Gao, Qihui Wu
2014	Misc	`conf`	Machine learning techniques for spectrum sensing when primary user has multiple transmit powers. ICCS Kaiqing Zhang, Jiachen Li, Feifei Gao