News_2025

 September

• Our work “Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation ” has been accepted for publication in the IEEE Robotics and Automation Letters.

 January

• Our works “On Stateful Value Factorization in Multi-Agent Reinforcement Learning” and “Improving Policy Optimization via ε-Retrain” have been accepted at AAMAS 2025.