Vitae
- Graduated from Seiko-Gakuin High School in 2014.
- Graduated from Department of Systems Innovation, School of Engineering, The University of Tokyo in 2018.
- PhD student in School of Engineering, The University of Tokyo.
- Belong to Yutaka Matsuo’s Lab
- Trainee at Brain Science Training Program at Riken Center for Brain Science since Oct. 2018
Interest
- Statistical Machine Learning
- Computational Neuroscience
- Robotics
- Generative Model
- Deep Learning
- Model-based Reinforcement Learning
Papers
- Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu. Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
- Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo. Measuring Task Uncertainty in Meta-Imitation Learning. Proceedings of the workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics at IROS2019. November 2019.
- Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo: Neuron as an Agent, International Conference of Learning Representation (ICLR18) Workshop (Invitation), 2018
Articles
- 「松尾研が注目！ AIの「身体性」をグーグルやフェイスブックが研究」．日経クロストレンド．http://trend.nikkeibp.co.jp/atcl/contents/technology/00007/00001/
- 「ロボット制御に大切な「状態」表現 データから環境の表現を学ぶ」．日経クロストレンド．https://trend.nikkeibp.co.jp/atcl/contents/technology/00007/00015/
- 学生フォーラム〔第96 回〕小塩篤史先生インタビュー「データサイエンスと未来学：今までとこれからについて」．人工知能学会誌 Vol.34 No.2．http://id.nii.ac.jp/1004/00009684/
Works
- Data analysis engineer in Gunosy Inc. as an internship since July 2016.
- Experience Japan Program 2015 project leader in Non-profit Organization MIS
Others
- Presentations (Japanese)
- Acted in Komaba Festival 2015 “Tokyo Soundtrack” (view in Youtube)