Data from Southern University of Science and Technology (SUSTech) Provide New In sights into Computational Intelligence (Rl-csl: a Combinatorial Optimization Met hod Using Reinforcement Learning and Contrastive Self-supervised Learning)

Robotics & Machine Learning Daily News2024，Issue(MAY.3) ：8-9.

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Data from Southern University of Science and Technology (SUSTech) Provide New In sights into Computational Intelligence (Rl-csl: a Combinatorial Optimization Met hod Using Reinforcement Learning and Contrastive Self-supervised Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning - Computational Intelligence. According tonews originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated,“Reinfor cement learning-based methods have shown great potential in solving combinatoria l optimization problems. However, the related research has not been mature in te rms of both models and trainingmethods.”

Key words

Shenzhen/People’s Republic of China/As ia/Computational Intelligence/Combinatorial/Combinatoric/Emerging Technologi es/Machine Learning/Reinforcement Learning/Supervised Learning/Southern Univ ersity of Science and Technology (SUSTech)

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出版年

2024

Robotics & Machine Learning Daily News

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