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A Deep Reinforcement Learning Algorithm for Robotic Manipulation Tasks in Simulated Environments

Industrial robots are used in a variety of industrial process tasks, and due to the complexity of the environment in which these systems are deployed, more robust and accurate control methods are required. Deep reinforcement learning emerges as a comprehensive approach that directly allows for the m...

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Detalhes bibliográficos
Principais autores: Carlos Calderon-Cordova, Roger Sarango
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-12-01
Colecção:Engineering Proceedings
Assuntos:
Acesso em linha:https://www.mdpi.com/2673-4591/47/1/12
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