Open access
Oct 2026
Multi-Agent Path Planning Based on Coulomb’s Law and PER-MADDPG
Multi-agent path planning remains a challenging problem in deep reinforcement learning due to inefficient coordination, excessive exploration, and unstable training dynamics. Although Multi-Agent Deep Deterministic Policy Gradient (MADDPG) has been widely adopted for cooperative decision-making tasks, its performance i...
Fei-Fan Fang, Guo-Liang Jing, Qi Wang et al.
· Applied Sciences · 0 citations