64 citations · 71 across the 5 of their papers we have counts for
5 papers
Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous Driving
Guanzhou Li, Jianping Wu, Yujing He
Autonomous vehicles inevitably encounter a vast array of scenarios in real-world environments. Addressing long-tail scenarios, particularly those involving intensive interactions w…
D-HAL: Distributed Hierarchical Adversarial Learning for Multi-Agent Interaction in Autonomous Intersection Management
Guanzhou Li, Jianping Wu, Yujing He
Autonomous Intersection Management (AIM) provides a signal-free intersection scheduling paradigm for Connected Autonomous Vehicles (CAVs). Distributed learning method has emerged a…
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning
Duowei Li, Jianping Wu, Feng Zhu +2
Platooning and coordination are two implementation strategies that are frequently proposed for traffic control of connected and autonomous vehicles (CAVs) at signal-free intersecti…
Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach
Duowei Li, Jianping Wu, Feng Zhu +2
As a strategy to reduce travel delay and enhance energy efficiency, platooning of connected and autonomous vehicles (CAVs) at non-signalized intersections has become increasingly p…
HARL: A Novel Hierachical Adversary Reinforcement Learning for Automoumous Intersection Management
Guanzhou Li, Jianping Wu, Yujing He
As an emerging technology, Connected Autonomous Vehicles (CAVs) are believed to have the ability to move through intersections in a faster and safer manner, through effective Vehic…