Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
Rethinking policy updates to make cooperative multi-agent reinforcement learning more stable.
Reinforcement learning
Publications
Work on multi-agent coordination, partial observability, and policy optimization.
Selected papers
2025—2026Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning
Using state information during training to improve offline reinforcement learning with incomplete observations.