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Cited article:

Comparative Analysis of Classical and Linucb Bandits in Recommender Systems Based on Cumulative Regret and Reward

Zehao Li

ITM Web Conf., 78 (2025) 01031

Published online: 2025-09-08

DOI: https://doi.org/10.1051/itmconf/20257801031

This article has been cited by the following article(s):

Multi-scale reinforcement learning framework for development policy optimization: Evidence from energy poverty alleviation

Sidique Gawusu and Xiaobing Zhang
Renewable and Sustainable Energy Reviews 226 116394 (2026)
https://doi.org/10.1016/j.rser.2025.116394