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Gaith Rjoub

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Deep Reinforcement Learning for Robotics Motion Planning Combining Graph Neural Networks and Multi-Agent Systems

Number of pages: 36 Posted: 13 Feb 2024
Gaith Rjoub, Jamal Bentahar, Hanae Elmekki, Witold Pedrycz, Nagat Drawel and Sofian Kassaymeh
affiliation not provided to SSRN, Concordia University, Concordia University, University of Alberta, Concordia University and Aqaba University of Technology
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Abstract:

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Robot motion planning, Proximal Policy Optimization (PPO), Graph Neural Networks (GNNs), Multi-Agent Systems (MAS), Centralized Training and Decentralized Execution (CTDE)