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Uas conflict-avoidance using multiagent rl with abstract strategy type communication
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Knudson, Matt 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 | 61404 |
| Page Count | 2 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20140013387 |
| Archival Resource Key | ark:/13960/t54f6sj77 |
| Language | English |
| Publisher Date | 2014-05-05 |
| Access Restriction | Open |
| Subject Keyword | Unmanned Autonomous Systems Multiagent Reinforcement Learning Conflict-avoidance National Airspace Airspace Flight Management Systems Pilotless Aircraft Flight Safety Algorithms Machine Learning Unmanned Aircraft Systems Flight Paths Air Traffic Control Artificial Intelligence Collision Avoidance Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
