A Self-Organizing Federated Reinforcement Learning Framework for Cross-Scenario Collaborative AVP Trajectory Planning
Cross-scenario collaborative trajectory planning can improve Automated Valet Parking (AVP) by transferring policy knowledge learned from vehicle experiences in different environments. However, existing transfer approaches often rely on static architectures, coarse representations, and limited adaptability, restricting...