The role of reinforcement learning in business integrated manufacturing

  • Luiza Daschievici “Dunarea de Jos“ University of Galati
  • Daniela Ghelase “Dunarea de Jos“ University of Galati

Résumé

Reinforcement learning (RL) has received some attention in recent years from researchers, because it deals with the problem of how an autonomous manufacturing system can learn to select proper actions for achieving its goals through interacting with its environment. Although there have been several successful examples demonstrating the usefulness of RL, its application to business integrated manufacturing has not been fully explored yet. The interaction between the economic environment and the manufacturing system is a major source of knowledge about the economic environment and the manufacturing system themselves.

Publiée
2011-06-05
Comment citer
1.
Daschievici L, Ghelase D. The role of reinforcement learning in business integrated manufacturing. Analele Universităţii "Dunărea de Jos" din Galaţi. Fascicula XIV, Inginerie mecanică = Annals of “Dunarea de Jos“ University of Galati. Fascicle XIV, Mechanical Engineering [Internet]. 5juin2011 [cité 6juin2025];18(1):73-6. Available from: https://gup.ugal.ro/ugaljournals/index.php/im/article/view/3769
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