 A Novel Point-based Algorithm for Multi-agent Control Using the Common
Information ApproachIEEE Conference on Decision and Control (CDC), 2023 |
 Abstracting Imperfect Information Away from Two-Player Zero-Sum GamesInternational Conference on Machine Learning (ICML), 2023 |
 On Improving Model-Free Algorithms for Decentralized Multi-Agent
Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021 |
 Solving Common-Payoff Games with Approximate Policy IterationAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic
Mean-Field GamesIEEE Conference on Decision and Control (CDC), 2020 |
 Information State Embedding in Partially Observable Cooperative
Multi-Agent Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2020 |
 Distributed Reinforcement Learning for Decentralized Linear Quadratic
Control: A Derivative-Free Policy Optimization ApproachIEEE Transactions on Automatic Control (IEEE TAC), 2019 |
