Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
Safe reinforcement learning framework for eco-driving that maintains robust safety under traffic disturbances.
ke-lu
Safe reinforcement learning framework for eco-driving that maintains robust safety under traffic disturbances.
Multi-agent reinforcement learning enables cooperative, energy-efficient car-following among connected electrified vehicles.
Physics-augmented DeePC controller for robust eco-driving against diverse human driver behaviors.
Reinforcement learning-based eco-cruising for connected vehicles in mixed traffic, calibrated against real human driver behaviors.
Hierarchical eco-cruising strategy that jointly plans driving lanes and speed profiles for connected vehicles.
Deep reinforcement learning strategy for energy-efficient cruising of connected electric vehicles.