Multi-agent Reinforcement Learning for Ecological Car-Following Control in Mixed Traffic
Multi-agent reinforcement learning enables cooperative, energy-efficient car-following among connected electrified vehicles.
Qun Wang
Multi-agent reinforcement learning enables cooperative, energy-efficient car-following among connected electrified vehicles.
Cooperative control of connected electrified vehicle platoons using multi-agent reinforcement learning. Each agent learns a decentralized policy that jointly optimizes tracking, …
Hierarchical eco-cruising strategy that jointly plans driving lanes and speed profiles for connected vehicles.