Yuhuang Su

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning

A multi-agent deep reinforcement learning framework that addresses issues through coordinated exploration, demonstration exploitation, safe curriculum scheduling, and structure-aware generalisation is proposed, demonstrating strong performance in collaboration success rate, navigation robustness, zero-shot cross-scenario generalisation, and dynamic environment adaptability.