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

Author:

Rjoub Gaith,Bentahar Jamal,Elmekki Hanae,Pedrycz Witold,Drawel Nagat,Kassaymeh Sofian

Publisher

Elsevier BV

Reference24 articles.

1. Multi-agent deep reinforcement learning with demonstration cloning for target localization;A Alagha;IEEE Internet of Things Journal,2023

2. Robust and autonomous stereo visualinertial navigation for non-holonomic mobile robots;H W Chae;IEEE Transactions on Vehicular Technology,2020

3. Transformer-based imitative reinforcement learning for multirobot path planning;L Chen;IEEE Trans. Ind. Informatics,2023

4. Deep reinforcement learning for end-to-end local motion planning of autonomous aerial robots in unknown outdoor environments: Real-time flight experiments;O Doukhi;Sensors,2021

5. Motion planning among dynamic, decision-making agents with deep reinforcement learning;M Everett;IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2018

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