Multi-Agent Path Finding Method Based on Evolutionary Reinforcement Learning

• Published in: Chinese Control Conference pp. 5728 - 5733
• Main Authors: Shi, Qinru, Liu, Meiqin, Zhang, Senlin, Zheng, Ronghao, Lan, Xuguang
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
• Subjects: Collaboration; deep learning in robotics and automation; evolutionary algorithm; Evolutionary computation; Learning systems; multi-agent path finding; Multi-agent systems; Reinforcement learning; Robotics and automation; System recovery; Training

The multi-agent path finding (MAPF) problem is crucial to improve the efficiency of warehouse systems. Compared with traditional centralized methods, which encounter escalating computational complexities with increasing scale, reinforcement learning-based methods has been proven to be an effective m...