mlsanityData to 14 Oct 2026

Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints

arXiv 2404.06423 ↗First posted 9 Apr 2024cs.RO cs.AI cs.LGcited by 0

On the map: Deep reinforcement learning methods → RL for robot navigation and UAV control

Abstract (arXiv)

This article presents a deep reinforcement learning-based approach to tackle a persistent surveillance mission requiring a single unmanned aerial vehicle initially stationed at a depot with fuel or time-of-flight constraints to repeatedly visit a set of targets with equal priority. Owing to the vehicle's fuel or time-of-flight constraints, the vehicle must be regularly refueled, or its battery must be recharged at the depot. The objective of the problem is to determine an optimal sequence of visits to the targets that minimizes the maximum time elapsed between successive visits to any target while ensuring that the vehicle never runs out of fuel or charge. We present a deep reinforcement learning algorithm to solve this problem and present the results of numerical experiments that corroborate the effectiveness of this approach in comparison with common-sense greedy heuristics.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in RL for robot navigation and UAV control, one of 15 directions in Deep reinforcement learning methods. Builds on 6 of its 25 references that are in the map. First posted on arXiv 9 Apr 2024.

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6 of 25 references.

References · 6

  1. 2021The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Gamescited by 942
  2. 2020A Closer Look at Invalid Action Masking in Policy Gradient Algorithmscited by 171
  3. 2013Algorithms for Routing an Unmanned Aerial Vehicle in the presence of Refueling Depotscited by 4
  4. 2021Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraintscited by 4
  5. 2015Formulations and algorithms for the multiple depot, fuel-constrained, multiple vehicle routing problemcited by 2
  6. 2013Persistent Monitoring of Events with Stochastic Arrivals at Multiple Stationscited by 1

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