Jonathan Hoss
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126
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AI×1ML×1
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2026
Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics
The paper proposes a policy-neutral execution and measurement layer to mediate between reinforcement learning policies and industrial environments, transforming ambiguous execution failures into structured, attributable data for improved reliability and interpretability.
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