Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories

no code implementations • 14 Oct 2019 • Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekara, Renata Borovica-Gajic

In this paper, we propose an efficient traffic optimization solution, called Coordinated Learning-based Lane Allocation (CLLA), which is suitable for dynamic configuration of lane-directions.

Autonomous Vehicles reinforcement-learning +1