Rémi Leluc博士生Télécom Paris关注立即认领分享关注立即认领分享基本信息浏览量:0职业迁徙个人简介I am working on adaptive Monte Carlo methods and stochastic approximation with applications to Reinforcement Learning. My research topics focus on probability theory, optimization and machine learning applications.研究兴趣论文共 4 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构MARLIM: Multi-Agent Reinforcement Learning for Inventory ManagementRémi Leluc,Elie Kadoche,Antoine Bertoncello,Sébastien GourvénecCoRR (2023)引用0浏览0EI引用00A Quadrature Rule combining Control Variates and Adaptive Importance SamplingRémi Leluc,François Portier,Johan Segers,Aigerim ZhumanNeurIPS 2022(2022)引用2浏览0EI引用20Feature Clustering For Support Identification In Extreme RegionsHamid Jalalzai,Rémi LelucINTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139(2021)引用5浏览0EI引用50Informative Clusters for Multivariate ExtremesHamid Jalalzai,Rémi LelucCoRR (2020)引用0浏览0EI引用00作者统计合作学者合作机构D-Core合作者学生导师暂无相似学者,你可以通过学者研究领域进行搜索筛选数据免责声明页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn