A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework

A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework

In this review, the industry’s current issues regarding intelligent manufacture are presented. This work presents the status and the potential for the I4.0 and I5.0’s revolutionary technologies. AI and, in particular, the DRL algorithms, which are a perfect response to the unpredictability and volat...

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Bibliographic Details
Main Authors: Alejandro del Real Torres, Doru Stefan Andreiana, Álvaro Ojeda Roldán, Alfonso Hernández Bustos, Luis Enrique Acevedo Galicia
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
deep reinforcement learning
smart manufacturing
industry 4.0
industry 5.0
sim-to-real transfer
path planning
Online Access:https://www.mdpi.com/2076-3417/12/23/12377

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https://www.mdpi.com/2076-3417/12/23/12377

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