Sim–Real Mapping of an Image-Based Robot Arm Controller Using Deep Reinforcement Learning

Models trained with Deep Reinforcement learning (DRL) have been deployed in various areas of robotics with varying degree of success. To overcome the limitations of data gathering in the real world, DRL training utilizes simulated environments and transfers the learned policy to real-world scenarios...

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Bibliographic Details
Main Authors: Minoru Sasaki, Joseph Muguro, Fumiya Kitano, Waweru Njeri, Kojiro Matsushita
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/20/10277