Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning

Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang

Reinforcement Learning (RL) has made promising progress in planning and decision-making for Autonomous Vehicles (AVs) in simple driving scenarios. However, existing RL algorithms f…