Twin delayed deep deterministic policy gradient-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage training
Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It requires handling a high level of nonlinearity and dynamics. Model-free control effectively handles the uncertain nature of the problem, and reinforcement learning (RL)-based approaches are a good candidate...
| Autors principals: | , , , , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
Institute of Electrical and Electronics Engineers
2022
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| Matèries: | |
| Accés en línia: | http://eprints.uthm.edu.my/6913/1/J14006_28269837c18b517045750a7bc07cf431.pdf |