Active Learning in Persistent Surveillance UAV Missions
The performance of many complex UAV decision-making problems can be extremely sensitive to small errors in the model parameters. One way of mitigating this sensitivity is by designing algorithms that more effectively learn the model throughout the course of a mission. This paper addresses this impor...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Institute of Aeronautics and Astronautics
2013
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| Online Access: | http://hdl.handle.net/1721.1/81479 https://orcid.org/0000-0001-8576-1930 |