Control Barrier Functions for Safe Reinforcement Learning
Control Barrier Functions for Safe Reinforcement Learning This project studies the theoretical and practical aspects of Control Barrier Functions (CBFs) for safe reinforcement learning in the context of Connected and Automated Vehicles (CAVs).
Mar 1, 2025
Multi-Agent Reinforcement Learning and its Applications in Connected and Automated Vehicles
Multi-Agent Reinforcement Learning and its Applications in Connected and Automated Vehicles This project addressed the challenges in Multi-Agent Reinforcement Learning (MARL) and its applications in Connected and Automated Vehicles (CAVs).
Jan 1, 2025