Li Xia

Policy Optimization and Multi-agent Reinforcement Learning for Mean-variance Team Stochastic Games

2025 · arXiv (Cornell University)

We study a long-run mean-variance team stochastic game (MV-TSG), where each agent shares a common mean-variance objective for the system and takes actions independently to maximize it. MV-TSG has two main challenges. First, the variance …