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J-GLOBAL ID:202301014249184399
Update date: Jan. 30, 2024 Matsushima Tatsuya
マツシマ タツヤ | Matsushima Tatsuya
- Xin Zhang, Tatsuya Matsushima, Yutaka Matsuo, Yusuke Iwasawa. M3IL: Multi-Modal Meta-Imitation Learning. Transactions of the Japanese Society for Artificial Intelligence. 2023. 38. 2
- So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang. Collective Intelligence for 2D Push Manipulations With Mobile Robots. IEEE Robotics and Automation Letters. 2023
- Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, et al. World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator. Advanced Robotics. 2022. 36. 17-18. 850-869
- Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu. Tool as Embodiment for Recursive Manipulation. CoRR. 2021. abs/2112.00359
- Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu. Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms. CoRR. 2021. abs/2103.17258
- Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu. Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. CoRR. 2021. abs/2103.12726
- Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu. Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. Proceedings of the 38th International Conference on Machine Learning(ICML). 2021. 3541-3552
- Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima, Yutaka Matsuo, Shixiang Shane Gu. Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning. Advances in Neural Information Processing Systems. 2021. 12. 9828-9842
- Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Shane Gu. DEPLOYMENT-EFFICIENT REINFORCEMENT LEARNING VIA MODEL-BASED OFFLINE OPTIMIZATION. ICLR 2021 - 9th International Conference on Learning Representations. 2021
- Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo. Modeling Task Uncertainty for Safe Meta-Imitation Learning. Frontiers in robotics and AI. 2020. 7. 606361-606361
- Shohei Ohsawa, Kei Akuzawa, Tatsuya Matsushima, Gustavo Bezerra, Yusuke Iwasawa, Hiroshi Kajino, Seiya Takenaka, Yutaka Matsuo. Neuron as an agent. 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings. 2018
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