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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Bibliographic Details
Main Authors: Carlos Calderon-Cordova, Roger Sarango
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/47/1/12