Delay-aware multi-agent reinforcement learning for mixed-autonomy platoon control
It is recognized that controlling mixed-autonomy platoons comprising connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) can enhance traffic flow. While multi-agent reinforcement learning (MARL) is a promising real-time control paradigm, existing MARL-based platoon controllers rarely account for co...