From Reinforcement Learning to Reality: Generating Structured Text Logic Controller - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

From Reinforcement Learning to Reality: Generating Structured Text Logic Controller

Résumé

This paper proposes a novel approach that combines Reinforcement Learning (RL) and IEC 61131-3 Programming Logic Controller (PLC) standards for generating logic controllers. We present a proof of concept to demonstrate the feasibility of this hybrid methodology, which could be implemented in a PLC environment.
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Dates et versions

hal-04745723 , version 1 (21-10-2024)

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Dimitri Renard, David Annebicque, Ramla Saddem, Mathieu Roisin, Bernard Riera. From Reinforcement Learning to Reality: Generating Structured Text Logic Controller. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Jul 2024, Vallette, France. pp.1269-1274, ⟨10.1109/CoDIT62066.2024.10708353⟩. ⟨hal-04745723⟩

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