SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation

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Material Type: 文書・図像類
Title: SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
Author/Editor: 清原, 明加
Kiyohara, Haruka
岸本, 廉
Kishimoto, Ren
川上, 孝介
Kawakami, Kosuke
小林, 健
Kobayashi, Ken
中田, 和秀
Nakata, Kazuhide
齋藤, 優太
Saito, Yuta
Author Heading: 清原, 明加
Kiyohara, Haruka
岸本, 廉
Kishimoto, Ren
川上, 孝介
Kawakami, Kosuke
小林, 健
Kobayashi, Ken
中田, 和秀
Nakata, Kazuhide
齋藤, 優太
Saito, Yuta
Publication Date: 2023-11
Publication Date (W3CDTF): 2023-11
Periodical title: arXiv
Text Language Code: eng
Target Audience: 一般
Note (General): identifier:oai:t2r2.star.titech.ac.jp:50691389
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 東京工業大学 : 東京工業大学リサーチリポジトリ