Safe Multi-Agent Deep Reinforcement Learning for the Management of Autonomous Connected Vehicles at Future Intersections
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024
Abstract
Safe multi-agent deep RL for managing autonomous connected vehicles at future intersections. Couples per-agent safety constraints with global coordination objectives, evaluated under high-density traffic.
Published, IEEE TPDS 2024.