Deep reinforcement learning for unmanned farming dynamic multi-task allocation problem

Baoxian Liang

doi:10.1016/j.compag.2026.111439

Deep reinforcement learning for unmanned farming dynamic multi-task allocation problem

2026-02-05

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DOI：10.1016/j.compag.2026.111439

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• The Dynamic Multi-task Allocation Problem with Time Windows is first studied in unmanned farming to facilitate multi-machine cooperative operations. • Addressing the dynamic characteristics of agricultural production, a dynamic multi-task allocation framework based on deep reinforcement learning is proposed. • A set of comprehensive large-scale synthetic instances is generated using real-world farmland data.

Keyword:

Dynamic Multi-task Allocation

Deep Reinforcement Learning

Unmanned Farming

Time Windows

Cooperative Operations

Deep reinforcement learning for unmanned farming dynamic multi-task allocation problem

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