65 citations · 65 across the 1 of their papers we have counts for
3 papers
cs.AI2024★ 3 cited
iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
Aoyu Pang, Maonan Wang, Man-On Pun +2
Urban congestion remains a critical challenge, with traffic signal control (TSC) emerging as a potent solution. TSC is often modeled as a Markov Decision Process problem and then s…
eess.SY2023
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks
Xi Xiong, Maonan Wang, Dengfeng Sun +1
Platooning connected and autonomous vehicles (CAVs) provide significant benefits in terms of traffic efficiency and fuel economy. However, most existing platooning systems assume t…
cs.RO2016★ 65 cited
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving
Xi Xiong, Jianqiang Wang, Fang Zhang +1
With the development of state-of-art deep reinforcement learning, we can efficiently tackle continuous control problems. But the deep reinforcement learning method for continuous c…