Research
研究
研究業績
カテゴリー
研究領域
年
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Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
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
International Conference on Machine Learning (ICML 2023). July 2023.
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End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
International Conference on Machine Learning (ICML 2023) July 2023.
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A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo, and Shixiang Shane Gu
International Conference on Learning Representations (ICLR2023, notable-top-25%)
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Interaction-Based Disentanglement of Entities for Object-Centric World Models
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo.
“InteractioInternational Conference on Learning Representations (ICLR2023)
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Generalized Decision Transformer for Offline Hindsight Infomation Matching
Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu
International Conference on Learning Representations 2022 (ICLR2022, Spotlight).
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Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Workshop on Novel Ideas in Learning-to-Learn through Interaction, EMNLP 2021.