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A dynamic penalty approach to state constraint handling in deep reinforcement learning
ArticleAbstract: Deep reinforcement learning (RL) has emerged as a promising approach to solving sequential optimizatPalabras claves:Constraint handling, Dynamic penalty, Penalty approach, reinforcement learningAutores:Lee J.H., Víctor M. Zavala, Yoo H.Fuentes:scopusA dynamic penalty function approach for constraint-handling in reinforcement learning
Conference ObjectAbstract: Reinforcement learning (RL) is attracting attention as an effective way to solve sequential optimizaPalabras claves:Constraints, Dynamic penalty, Penalty approach, reinforcement learningAutores:Lee J.H., Víctor M. Zavala, Yoo H.Fuentes:scopus