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StM:a benchmark for evaluating generalization in reinforcement learning

袁凯钊

高技术通讯(英文版)2025,Vol.31Issue(2):118-130,13.
高技术通讯(英文版)2025,Vol.31Issue(2):118-130,13.DOI:10.3772/j.issn.1006-6748.2025.02.002

StM:a benchmark for evaluating generalization in reinforcement learning

StM:a benchmark for evaluating generalization in reinforcement learning

袁凯钊1

作者信息

  • 折叠

摘要

关键词

reinforcement learning(RL)/generalization/benchmark/environment

Key words

reinforcement learning(RL)/generalization/benchmark/environment

引用本文复制引用

袁凯钊..StM:a benchmark for evaluating generalization in reinforcement learning[J].高技术通讯(英文版),2025,31(2):118-130,13.

基金项目

Supported by the National Key R&D Program of China(No.2023YFB4502200),the National Natural Science Foundation of China(No.U22A2028,61925208,62222214,62341411,62102398,62102399,U20A20227,62302478,62302482,62302483,62302480,62302481),the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0660300,XDB0660301,XDB0660302),the Chinese Academy of Sciences Project for Young Scientists in Basic Research(No.YSBR-029)and the Youth Innovation Promotion Associa-tion of Chinese Academy of Sciences and Xplore Prize. (No.2023YFB4502200)

高技术通讯(英文版)

1006-6748

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