Basar, Tamer

25 publications

JMLR 2025 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding, Kaiqing Zhang, Jiali Duan, Tamer Basar, Mihailo R. Jovanovic

NeurIPS 2025 Structure Matters: Dynamic Policy Gradient Sara Klein, Xiangyuan Zhang, Tamer Basar, Simon Weissmann, Leif Döring

L4DC 2024 $\widetilde{O}(T^{-1})$ Convergence to (coarse) Correlated Equilibria in Full-Information General-Sum Markov Games Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Başar

L4DC 2024 Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang, Weichao Mao, Saviz Mowlavi, Mouhacine Benosman, Tamer Başar

L4DC 2024 Robust Cooperative Multi-Agent Reinforcement Learning: A Mean-Field Type Game Perspective Muhammad Aneeq Uz Zaman, Mathieu Laurière, Alec Koppel, Tamer Başar

L4DC 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control Leilei Cui, Tamer Basar, Zhong-Ping Jiang

JMLR 2023 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang, Sham M. Kakade, Tamer Basar, Lin F. Yang

NeurIPS 2023 Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar Iyer, Tamer Basar

AISTATS 2023 Oracle-Free Reinforcement Learning in Mean-Field Games Along a Single Sample Path Muhammad Aneeq Uz Zaman, Alec Koppel, Sujay Bhatt, Tamer Basar

NeurIPS 2022 A Mean-Field Game Approach to Cloud Resource Management with Function Approximation Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar Iyer, Tamer Basar

ICML 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao, Lin Yang, Kaiqing Zhang, Tamer Basar

AAAI 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh

NeurIPS 2021 Decentralized Q-Learning in Zero-Sum Markov Games Muhammed Sayin, Kaiqing Zhang, David Leslie, Tamer Basar, Asuman Ozdaglar

NeurIPS 2021 Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar

ICML 2021 Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar

NeurIPS 2020 An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu, Kaiqing Zhang, Tamer Basar, Wotao Yin

NeurIPS 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kaiqing Zhang, Sham Kakade, Tamer Basar, Lin Yang

NeurIPS 2020 Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes Dongsheng Ding, Kaiqing Zhang, Tamer Basar, Mihailo Jovanovic

NeurIPS 2020 On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems Kaiqing Zhang, Bin Hu, Tamer Basar

NeurIPS 2020 POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar

L4DC 2020 Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaiqing Zhang, Bin Hu, Tamer Basar

NeurIPS 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar

NeurIPS 2019 Non-Cooperative Inverse Reinforcement Learning Xiangyuan Zhang, Kaiqing Zhang, Erik Miehling, Tamer Basar

NeurIPS 2019 Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaiqing Zhang, Zhuoran Yang, Tamer Basar

ICML 2018 Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar