Kaiqing Zhang

Regret Minimization with Adaptive Opponents in Repeated Games COLT 2026 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 Do LLM Agents Have Regret? A Case Study in Online Learning and Games ICLR 2025 Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making AAAI 2025 MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning ACL 2025 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Robot Fleet Learning via Policy Merging ICLR 2024 A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NeurIPS 2023 Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation COLT 2023 Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023 Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs NeurIPS 2023 Learning to Extrapolate: A Transductive Approach ICLR 2023 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023 Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NeurIPS 2023 Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing ICML 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Self-Supervised Reinforcement Learning that Transfers using Random Features NeurIPS 2023 Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 The Complexity of Markov Equilibrium in Stochastic Games COLT 2023 The Power of Regularization in Solving Extensive-Form Games ICLR 2023 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022 What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS 2022 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Decentralized Q-learning in Zero-sum Markov Games NeurIPS 2021 Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity NeurIPS 2021 Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates ICLR 2021 Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods NeurIPS 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes NeurIPS 2020 On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems NeurIPS 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis NeurIPS 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty NeurIPS 2020 Non-Cooperative Inverse Reinforcement Learning NeurIPS 2019 Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NeurIPS 2019 Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents ICML 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018