| 2026 | COLT | Regret Minimization with Adaptive Opponents in Repeated Games. | Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang |
| 2025 | AAAI | Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making. | Kaiqing Zhang |
| 2025 | ACL | MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. | Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim |
| 2025 | ICLR | Do LLM Agents Have Regret? A Case Study in Online Learning and Games. | Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang |
| 2025 | IPCCC | Unsupervised Indoor Relative Positioning and Group Proximity Prediction Based on CIR Graph Convolutional Network and MDS Embedding. | Kaiqing Zhang, Xuemin Hong, Ao Peng |
| 2024 | ICLR | Robot Fleet Learning via Policy Merging. | Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake |
| 2023 | AISTATS | Byzantine-Robust Online and Offline Distributed Reinforcement Learning. | Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu |
| 2023 | AISTATS | Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence. | Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar |
| 2023 | COLT | Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. | Qiwen Cui, Kaiqing Zhang, Simon S. Du |
| 2023 | COLT | The Complexity of Markov Equilibrium in Stochastic Games. | Constantinos Daskalakis, Noah Golowich, Kaiqing Zhang |
| 2023 | COLT | Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective. | Max Simchowitz, Abhishek Gupta, Kaiqing Zhang |
| 2023 | ICLR | The Power of Regularization in Solving Extensive-Form Games. | Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang |
| 2023 | ICLR | Learning to Extrapolate: A Transductive Approach. | Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal |
| 2023 | ICLR | Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? | Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake |
| 2023 | ICML | Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing. | Xiangyu Liu, Kaiqing Zhang |
| 2023 | ICML | Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. | Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang |
| 2022 | ICML | Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence. | Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Mihailo R. Jovanovic |
| 2022 | ICML | On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning. | Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar |
| 2022 | ICML | Do Differentiable Simulators Give Better Policy Gradients? | Hyung Ju Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake |
| 2021 | AAAI | Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. | Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh |
| 2021 | ICLR | Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates. | Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan |
| 2021 | ICML | Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. | Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar |
| 2021 | ICML | Reinforcement Learning for Cost-Aware Markov Decision Processes. | Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David N. Kraemer |
| 2019 | CISS | Policy Search in Infinite-Horizon Discounted Reinforcement Learning: Advances through Connections to Non-Convex Optimization : Invited Presentation. | Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Basar |
| 2018 | AISTATS | Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. | Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang |
| 2018 | ICML | Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. | Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar |
| 2015 | GLOBECOM | Sequential Detection Aided Modulation Classification in Cognitive Radio Networks. | Lubing Han, Feifei Gao, Kaiqing Zhang, Shun Zhang |
| 2015 | PIMRC | Spectrum prediction and channel selection for sensing-based spectrum sharing scheme using online learning techniques. | Zhao Zhang, Kaiqing Zhang, Feifei Gao, Shun Zhang |