Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering
Yu Shen,Weizi Li,Ming C. Lin,Yu Shen,Weizi Li,Ming C. Lin
Despite significant advancements, collision-free navigation in autonomous driving is still challenging, considering the navigation module needs to balance learning and planning to achieve efficient and effective control of the vehicle. We propose a novel framework of inverse reinforcement learning with hybrid-weight trust-region optimization and curriculum learning (IRL-HC) for autonomous maneuver...
