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

arXiv:2404.06423v1 Announce Type: cross
Abstract: 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 …

abstract aerial article arxiv constraints cs.ai cs.lg cs.ro mission reinforcement reinforcement learning set surveillance targets type unmanned aerial vehicle