Publications

Some of the publications of our laboratory are listed here.

The publications of the entire Matsuo Laboratory can be viewed in this page.

Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo (2022). World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator. Advanced Robotics.

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Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu (2021). Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning.

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Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu (2021). Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. ICML.

Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Shane Gu (2021). Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization. ICLR.

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Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo (2020). Modeling Task Uncertainty for Safe Meta-Imitation Learning. Frontiers in Robotics and AI.

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Xin Zhang, Tatsuya Matsushima, Yusuke Iwasawa, Yutaka Matsuo (2020). 言語指示を用いたメタ模倣学習 (Meta-Imitation Learning with Language Instruction).