The Effects of Rewards on Autonomous Unmanned Aerial Vehicle (UAV) Operations Using Reinforcement Learning
| Autor: | Dahai Liu, Hemali Virani, Dennis A. Vincenzi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Computer science 05 social sciences Aerospace Engineering 020207 software engineering 02 engineering and technology 050105 experimental psychology Task (project management) Control and Systems Engineering Human–computer interaction Automotive Engineering 0202 electrical engineering electronic engineering information engineering Reinforcement learning 0501 psychology and cognitive sciences |
| Zdroj: | Unmanned Systems. :349-360 |
| ISSN: | 2301-3869 2301-3850 |
| DOI: | 10.1142/s2301385021500187 |
| Popis: | The effects of rewards on the ability of an autonomous UAV controlled by a Reinforcement Learning agent to accomplish a target localization task were investigated. It was shown that with an increase in the reward obtained by a learning agent upon correct detection, systems would become more risk-tolerant, efficient and have a tendency to locate targets faster with an increase in the sensor sensitivity after systems achieve steady-state performance. |
| Databáze: | OpenAIRE |
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