Solving Reward-Collecting Problems with UAVs: A Comparison of Online Optimization and Q-Learning

@article{Liu2022SolvingRP,
  title={Solving Reward-Collecting Problems with UAVs: A Comparison of Online Optimization and Q-Learning},
  author={Yixuan Liu and Chrysafis Vogiatzis and Ruriko Yoshida and Erich Morman},
  journal={Journal of Intelligent \& Robotic Systems},
  year={2022},
  volume={104},
  pages={1-14}
}
Uncrewed autonomous vehicles (UAVs) have made significant contributions to reconnaissance and surveillance missions in past US military campaigns. As the prevalence of UAVs increases, there has also been improvements in counter-UAV technology that makes it difficult for them to successfully obtain valuable intelligence within an area of interest. Hence, it has become important that modern UAVs can accomplish their missions while maximizing their chances of survival. In this work, we… 

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