The use of unmanned aerial systems (UAS) in the national airspace is of growing interest to the research community. Safety and scalability of control algorithms are key to the successful integration of autonomous system into a human-populated airspace. In order to ensure safety while still maintaining efficient paths of travel, these algorithms must also accommodate heterogeneity of path strategies of its neighbors. We show that, using multiagent RL, we can improve the speed with which conflicts are resolved in cases with up to 80 aircraft within a section of the airspace. In addition, we show that the introduction of abstract agent strategy types to partition the state space is helpful in resolving conflicts, particularly in high congestion.
Announced Strategy Types in Multiagent RL for Conflict-Avoidance in the National Airspace
AAAI 2014 Spring Symposium ; 2014 ; Palo Alto, CA, United States
2014-03-24
Conference paper
No indication
English
Pilots, Airspace Complexity, and Strategic Conflict Avoidance
British Library Conference Proceedings | 2005
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