A multi-UAV unfixed scale task assignment method with uncertainty based on deep Q network

Wenqi Ding

doi:10.1016/j.robot.2025.105269

A multi-UAV unfixed scale task assignment method with uncertainty based on deep Q network

2025-12-02

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DOI：10.1016/j.robot.2025.105269

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• A task allocation method based on DQN is proposed, which has superior real-time performance and solution quality in handling large-scale multi-UAV target allocation problems. • DQN was trained based on allocation scenarios that considered uncertainty, and a network with a relatively simple and fixed structure was realized to solve variable-scale problems. It has outstanding generalization performance and has application value.

A multi-UAV unfixed scale task assignment method with uncertainty based on deep Q network

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