Research

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    Research Area

    Year

    • International Conferences
      Reinforcement Learning World Model

      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.

    • International Conferences
      Generative Model World Model

      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.

    • International Conferences
      Robotics World Model

      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%)

    • International Conferences
      Generative Model World Model

      Interaction-Based Disentanglement of Entities for Object-Centric World Models

      Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo.

      “InteractioInternational Conference on Learning Representations (ICLR2023)

    • International Conferences
      Reinforcement Learning World Model

      Generalized Decision Transformer for Offline Hindsight Infomation Matching

      Hiroki Furuta, Yutaka Matsuo, and Shixiang Shane Gu

      International Conference on Learning Representations 2022 (ICLR2022, Spotlight).

    • International Conferences
      World Model

      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.

    • Invited Lectures
      Generative Model World Model

       Pixyz: a framework for developing deep generative models

      Tutorial on Deep Probabilistic Generative Models for Robotics (IROS2020)

    • Invited Lectures
      Generative Model World Model

      Pixyz: a framework for developing complex deep generative models

      Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics (IROS2019)