Liqiong Li

Research on Path Planning Method Based on Deep Reinforcement Learning for Autonomous Driving

This article introduces a mixed deep reinforcement learning path planning framework (DRL-PP) for self-driving cars. It's designed to be efficient, safe, and verifiable in complex, dynamic settings. The framework is built on layered action representation: the policy network gives out multi-step reference waypoints, and...