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Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics

arXiv cs.AI · 2026-05-29 Cached

This paper proposes a policy-neutral execution and measurement layer to bridge the sim-to-real gap in reinforcement learning-based industrial dispatching, enabling structured attribution of execution errors and improving reliability and interpretability.

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