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Announced Strategy Types in Multiagent RL for Conflict-Avoidance in the National Airspace.
| 题名： | Announced Strategy Types in Multiagent RL for Conflict-Avoidance in the National Airspace. |
| 作者： | C., Rebhuhn; K., Tumer; M. D., Knudson |
| 关键词： | Air Traffic Control; Airborne Surveillance Radar; Aircraft Performance; Aircraft Safety; Airspace; Collision Avoidance; Flight Simulation; National Airspace System; Strategy; Unmanned Aircraft Systems |
| 摘要： | 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. |
| 报告类型： | 科技报告 |
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