Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GNSS Degradation and Spoofing
Submitted to the Digital Avionics Systems Conference (DASC)
⏳ 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 GNSS degradation and Spoofing.
This manuscript is currently under review for presentation at DASC 2026.