Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents

Integrating the Generative Adversarial Network for Decision Making in Reinforcement Learning for Industrial Robot Agents

Many robotics systems carrying certain payloads are employed in manufacturing industries for pick and place tasks. The system experiences inefficiency if more or less weight is introduced. If a different payload is introduced (either due to a change in the load or a change in the parameters of the r...

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Bibliographic Details
Main Authors: Neelabh Paul, Vaibhav Tasgaonkar, Rahee Walambe, Ketan Kotecha
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Robotics
Subjects:
reinforcement learning
GANs
Q-tables
noise vector
payload
industrial robots
Online Access:https://www.mdpi.com/2218-6581/11/6/150

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https://www.mdpi.com/2218-6581/11/6/150

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