Deep reinforcement learning with light-weight vision model for sequential robotic object sorting

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting

Training an agent to generate cooperative joint learning policies for executing object sorting in cluttered scenes is complex. This paper presents a comparative model-free deep reinforcement learning (DRL) system built from variants of end-to-end lightweight deep neural networks that jointly complem...

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Bibliographic Details
Main Authors: Emmanuel Okafor, Mojeed Oyedeji, Motaz Alfarraj
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Artificial intelligence
Reinforcement learning
Object sorting
Reward engineering
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823004500

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http://www.sciencedirect.com/science/article/pii/S1319157823004500

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