A dynamic penalty approach to state constraint handling in deep reinforcement learning

Article

Abstract: Deep reinforcement learning (RL) has emerged as a promising approach to solving sequential optimizat

Palabras claves:

Constraint handling, Dynamic penalty, Penalty approach, reinforcement learning

Autores:

Lee J.H., Víctor M. Zavala, Yoo H.

Fuentes:

scopus