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Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Fuente: arXiv

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Bibliographic Details
Main Authors:	Wang, Weixun, Xiong, Shaopan, Chen, Gengru, Gao, Wei, Guo, Sheng, He, Yancheng, Huang, Ju, Liu, Jiaheng, Li, Zhendong, Li, Xiaoyang, Liu, Zichen, Zhao, Haizhou, An, Dakai, Cao, Lunxi, Cao, Qiyang, Deng, Wanxi, Du, Feilei, Gu, Yiliang, Li, Jiahe, Li, Xiang, Liu, Mingjie, Luo, Yijia, Liu, Zihe, Wang, Yadao, Wang, Pei, Wu, Tianyuan, Wu, Yanan, Zhao, Yuheng, Zhao, Shuaibing, Yang, Jin, Yang, Siran, Tan, Yingshui, Yi, Huimin, Xu, Yuchi, Yuan, Yujin, Zhang, Xingyao, Qu, Lin, Su, Wenbo, Wang, Wei, Wang, Jiamang, Zheng, Bo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2506.06122