Research
Publications
Category
Research Area
Year
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強化学習(第2版)
R. Sutton (原著), A. Barto (原著), 奥村エルネスト純 (監訳), 鈴木雅大 (監訳, 松尾豊 (監訳), 三上貞芳 (監訳), 山川宏 (監訳), 今井翔太 (翻訳), 川尻亮真 (翻訳), 菊池悠太 (翻訳), 鮫島和行 (翻訳), 陣内佑 (翻訳), 髙橋将文 (翻訳), 谷口尚平 (翻訳), 藤田康博 (翻訳), 前田新一 (翻訳), 松嶋達也 (翻訳)
森北出版
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Explaining Intelligent Agent’s Future Motionon Basis of Vocabulary Learning WithHuman Goal Inference
Fukuchi, Y., Osawa, M., Yamakawa, H., & Imai, M.
IEEE Access, 10, 54336–54347. (2022)
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Predicting production indices using deep learning models with inter-industry trade structures
山本裕樹，落合桂一，鈴木雅大，松尾豊
情報処理学会論文誌, (2022).
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Fixing the train-test objective discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection
Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matuo.
J-Stage in August Vol.30, (2022).
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Hippocampal formation-inspired probabilistic generative model
Taniguchi, A., Fukawa, A., & Yamakawa,H
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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A whole brain probabilistic generative model: Toward realizingcognitive architectures for developmental robots
Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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Conveying Intention by Motions With Awareness of Information Asymmetry
Fukuchi, Y., Osawa, M., Yamakawa, H., Takahashi, T., & Imai, M
Frontiers in Robotics and AI, 9. (2022)
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Universal Approximation with Neural Networks on Function Spaces
Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano
Journal of Experimental & Theoretical Artificial Intelligence.(2022)
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A survey of multimodal deep generative models
Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics.(2022)
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Scene Interpretation Method using Transformer and Self-Supervised Learning
小林 由弥 鈴木 雅大 松尾 豊
第37巻2号 J-STAGE, (2022)