Multi-Agent Constrained Policy Optimization for Conflict-Free Management of Connected Autonomous Vehicles at Unsignalized Intersections
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023
Abstract
Multi-agent constrained policy optimization (MA-CPPO) for conflict-free coordination of connected autonomous vehicles at unsignalized intersections. Reports ≥20% improvement in collision-avoidance rate over unconstrained baselines. Lead student author; supervisor Rui Zhao listed as first author.
Published, IEEE T-ITS 2023.