Collaborative deep reinforcement learning algorithm for solving multi-AGV dynamic scheduling problem

doi:10.1016/j.eswa.2026.131941

Collaborative deep reinforcement learning algorithm for solving multi-AGV dynamic scheduling problem

2026-03-11

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DOI：10.1016/j.eswa.2026.131941

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• Novel CDRLA for dynamic AGV task allocation and path planning. • Collaborative search mechanism enabling two-agent synergy. • Path planning agent with novel reward and collision avoidance mechanism. • Task allocation agent with attention-based feature extraction. • CDRLA validated for efficiency in multi-scale instances.

Keywords:

CDRLA

multi-AGV scheduling

dynamic task allocation

path planning

deep reinforcement learning

Collaborative deep reinforcement learning algorithm for solving multi-AGV dynamic scheduling problem

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