OPENTECHNICAL PUBLICATION
OT-2026-000001650

Multi-agent reinforcement learning framework for dynamic dispatching in material handling systems

Published: 2026-09-15T19:07:20.411639Z
Permanent URL: https://opentechnical.org/p/OT-2026-000001650
Categories: Material Handling > Conveying Systems

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ABSTRACT

Systems and methods for implementation of a multi-agent reinforcement learning
based decision system for a materials handling system, including initializing
a simulation environment comprising decision points for dispatching materials
and attributes of the materials handling system, the simulation environment
configured to request a decision for materials dispatch at the decision points
to the multi-agent reinforcement learning based decision system; initializing
the reinforcement learning agents representative of the decision points for
the multi-agent reinforcement learning based decision system; initializing
domain expert heuristics for the decision points for the multi-agent
reinforcement learning based decision system; and iteratively training the
reinforcement learning based decision system with the initialized domain
expert heuristics on the simulation environment.

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OpenTechnical publication OT-2026-000001650
Published 2026-09-15T19:07:20.411639Z
https://opentechnical.org/p/OT-2026-000001650