2024
DOI: 10.3390/drones8030071
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Genetic-Algorithm-Aided Deep Reinforcement Learning for Multi-Agent Drone Delivery

Farabi Ahmed Tarhan,
Nazım Kemal Ure

Abstract: The popularity of commercial unmanned aerial vehicles has drawn great attention from the e-commerce industry due to their suitability for last-mile delivery. However, the organization of multiple aerial vehicles efficiently for delivery within limitations and uncertainties is still a problem. The main challenge of planning is scalability, since the planning space grows exponentially to the number of agents, and it is not efficient to let human-level supervisors structure the problem for large-scale settings. A… Show more

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