Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
Submitted to the American Control Conference (ACC 2026)
⏳ Under Review
This paper introduces a Robust Multi-Agent Reinforcement Learning framework for realtime separation assurance and tactical deconfliction mechanism for small Unmanned Aerial Systems under GPS degradation and Spoofing.
This manuscript is currently under review for presentation at ACC 2026.