TRAIL, a subgroup on robotics in Matsuo Lab, participated in the RoboCup@Home 2023 held in Bordeaux, France, from July 4 to 10, 2023. The team contested in the “Domestic Standard Platform League (DSPL),” where they competed in the performance and technology of life support tasks in the home using a standard robot, We are pleased…
Prof. Andrew Ng, who is a globally recognized leader in AI (Artificial Intelligence) recently visited Matsuo Lab. He is Founder of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera and an Adjunct Professor at Stanford University’s Computer Science Department. During this visit, we introduced Matsuo Lab’s activities, student research and incubation…
Sorry, this entry is only available in Japanese. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.
松尾研究室主催の公開講座「サマースクール 2023」では2講座を開講します。
受講を希望される方は下記ページを参考にしてください。
◼︎題目
Bayesian Neural Newtorkによる景気テキストの不確実性評価と景気指標の開発, 情報処理学会論文誌 (2023)
◼︎著者名
山本裕樹, 鈴木雅大, 落合桂一, 松尾豊
◼︎参考ページ
https://www.ipsj.or.jp/award/ssp_award.html
◼︎書誌情報 Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo, World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges, Advanced Robotics, 2023. ◼︎概要 Creating autonomous robots that can actively explore the environment, acquire knowledge and learn skills continuously…
◼︎書誌情報 Pixyz: a Python library for developing deep generative models, Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo, Advanced Robotics, 2023. ◼︎概要 With the recent rapid progress in the study of deep generative models (DGMs), there is a need for a framework that can implement them in a simple and generic way. In this research, we focus…
■書誌情報 Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo. “Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice”, International Conference on Machine Learning (ICML 2023) ■概要 Mirror descent value…
博士３年 小島 武さんが研究科長賞、修士２年 王 品蓁さんが専攻長賞を受賞しました。
本論文の書誌情報や概要は以下のページを参照してください。
【この論文の採録記事のリンク】
日本語