Omnidirectional-Wheel Conveyor Path Planning and Sorting Using Reinforcement Learning Algorithms

In this paper, path planning and sorting of packages for Omnidirectional-Wheel conveyor are presented using Reinforcement Learning (RL). Q-learning, Double Q-learning, Deep Q-learning, and the Double Deep Q-learning algorithms are investigated. The RL algorithms enable the conveyor to self-learn the...

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Bibliographic Details
Main Authors: Walid Zaher, Arsany W. Youssef, Lamia A. Shihata, Eman Azab, Maggie Mashaly
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9729190/