Qingwen Ma

Receding Horizon Reinforcement Learning with Autoregressive Model for Motion Control of Autonomous Vehicles

This paper presents a model-based reinforcement learning (MBRL) approach with a receding horizon mechanism to optimize the lateral trajectory-tracking performance of autonomous vehicles (AVs). Accurate modeling of complex vehicle dynamics and adaptation to dynamic environments with limited data pose…