Research
研究
研究業績
カテゴリー
研究領域
年
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Technology Roadmap toward the Completion of Whole-Brain Architecture with BRA-Driven Development
Hiroshi Yamakawa, Yoshimasa Tawatsuji, Yuta Ashihara, Ayako Fukawa, Naoya Arakawa, Koichi Takahashi, and Yutaka Matsuo
Cognitive Systems Research, no. 101300 (October 2024)
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Brain-Consistent Architecture for Imagination
Hiroshi Yamakawa, Ayako Fukawa, Ikuko Eguchi Yairi, and Yutaka Matsuo
Frontiers in Systems Neuroscience 18 (2024)
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Hippocampal Formation-Inspired Global Self-Localization: Quick Recovery from the Kidnapped Robot Problem from an Egocentric Perspective
Takeshi Nakashima, Shunsuke Otake, Akira Taniguchi, Katsuyoshi Maeyama, Lotfi El Hafi, Tadahiro Taniguchi, and Hiroshi Yamakawa
Frontiers in Computational Neuroscience 18 (2024).
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文書生成タスクに対する強化学習応用における文書生成器のサンプルに非依存な報酬関数学習フレームワークの提案
冨山翔司, 鈴木雅大, 落合桂一, 松尾豊
電子情報通信学会和文論文誌D, (2024)
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ガウス過程潜在変数モデルとニューラルネットワークの統合によるマルチエージェント記号創発と潜在表現学習
中村友昭, 鈴木雅大, 谷口彰, 谷口忠大
日本ロボット学会誌（レター）, (2024)
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動的なマルチエージェント環境におけるモデルメディエータを利用したモデルベース強化学習
今井翔太, 岩澤有祐, 松尾豊
人工知能学会論文誌, Vol.38, No.5, (2023)
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Pixyz: a Python library for developing deep generative models
Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo: Pixyz
Advanced Robotics, (2023)
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World Models and Predictive Coding for Cognitive and Developmental Robotics
Tadahiro Taniguchi, Shingo Murata, Masahiro Suzuki, Dimitri Ognibene, Pablo Lanillos, Emre Ugur, Lorenzo Jamone, Tomoaki Nakamura, Alejandra Ciria, Bruno Lara, Giovanni Pezzulo
Frontiers and Challenges, Advanced Robotics, (2023)
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HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo
IPSJ, (2023).
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Collective Intelligence for 2D Push Manipulations with Mobile Robots
So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang
RA-L, (2023).