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Announced strategy types in multiagent rl for conflict-avoidance in the national airspace
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Knudson, Matthew D. Tumer, Kagan Rebhuhn, Carrie |
| Copyright Year | 2014 |
| Description | 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. |
| File Size | 87835 |
| Page Count | 2 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20140017737 |
| Archival Resource Key | ark:/13960/t3mw7f856 |
| Language | English |
| Publisher Date | 2014-03-24 |
| Access Restriction | Open |
| Subject Keyword | Conflict-avoidance National Airspace Unmanned Autonomous Systems Multiagent Reinforcement Learning Airspace Aircraft Safety Unmanned Aircraft Systems Aircraft Performance National Airspace System Strategy Air Traffic Control Collision Avoidance Airborne Surveillance Radar Flight Simulation Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |