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Orienteering Problem with Unknown Stochastic Reward to Informative Path Planning for Persistent Monitoring and Its Solution

지속정찰 임무의 경로계획을 위한 불확실 기댓값 오리엔티어링 문제와 해법

  • Kim, Dooyoung (Department of Computer Science, Republic of Korea Naval Academy)
  • 김두영 (해군사관학교 컴퓨터과학과)
  • Received : 2019.05.07
  • Accepted : 2019.08.23
  • Published : 2019.10.05

Abstract

We present an orienteering problem with unknown stochastic reward(OPUSR) model for persistent monitoring tasks with unknown event probabilities at each point of interest. Prior studies on orienteering problem for persistent monitoring task assume that rewards and event probabilities are known as a prior. In this paper, we propose a stochastic reward model with unknown event statistics and a path re-planning algorithm based on Bayesian reward inference. Experiments demonstrate the efficiency of our method.

Keywords

References

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