MERL - Mitsubishi Electric Research Laboratories

Kei Ota

Kei Ota
Kei's Quick Links

  • Biography

    Kei joined Mitsubishi Electric in 2017 and worked on the research of Reinforcement Learning and Robotics. He completed his M.Sc. in Aerospace Engineering at the Tokyo Institute of Technology in Tokyo, Japan, in 2017. He is also a second-year Ph.D. student in Computer Science at the Tokyo Institute of Technology.

  • Recent News & Events

  • MERL Publications

    •  Ota, K., Jha, D.K., Romeres, D., van Baar, J., Smith, K., Semistsu, T., Oiki, T., Sullivan, A., Nikovski, D.N., Tenenbaum, J.B., "Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation", IEEE Robotics and Automation Letters, DOI: 10.1109/​LRA.2021.3068887, Vol. 6, No. 2, March 2021.
      BibTeX TR2021-032 PDF Video Software
      • @article{Ota2021mar,
      • author = {Ota, Kei and Jha, Devesh K. and Romeres, Diego and van Baar, Jeroen and Smith, Kevin and Semistsu, Takayuki and Oiki, Tomoaki and Sullivan, Alan and Nikovski, Daniel N. and Tenenbaum, Joshua B.},
      • title = {Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation},
      • journal = {IEEE Robotics and Automation Letters},
      • year = 2021,
      • volume = 6,
      • number = 2,
      • month = mar,
      • doi = {10.1109/LRA.2021.3068887},
      • url = {https://www.merl.com/publications/TR2021-032}
      • }
    •  Ota, K., Jha, D.K., Kanezaki, A., "Training Larger Networks for Deep Reinforcement Learning", arXiv, February 2021.
      BibTeX arXiv
      • @inproceedings{Ota2021feb,
      • author = {Ota, Kei and Jha, Devesh K. and Kanezaki, Asako},
      • title = {Training Larger Networks for Deep Reinforcement Learning},
      • booktitle = {arXiv},
      • year = 2021,
      • month = feb,
      • url = {https://arxiv.org/abs/2102.07920}
      • }
    •  Ota, K., Jha, D.K., Onishi, T., Kanezaki, A., Yoshiyasu, Y., Mariyama, T., Nikovski, D.N., "Deep Reactive Planning in Dynamic Environments", Conference on Robot Learning (CoRL), Kober, Jens and Ramos, Fabio and Tomlin, Calire, Eds., November 2020, pp. 1943-1957.
      BibTeX TR2020-144 PDF
      • @inproceedings{Ota2020nov2,
      • author = {Ota, Kei and Jha, Devesh K. and Onishi, Tadashi and Kanezaki, Asako and Yoshiyasu, Yusuke and Mariyama, Toshisada and Nikovski, Daniel N.},
      • title = {Deep Reactive Planning in Dynamic Environments},
      • booktitle = {Conference on Robot Learning (CoRL)},
      • year = 2020,
      • editor = {Kober, Jens and Ramos, Fabio and Tomlin, Calire},
      • pages = {1943--1957},
      • month = nov,
      • publisher = {Proceedings of Machine Learning Research},
      • url = {https://www.merl.com/publications/TR2020-144}
      • }
    •  Ota, K., Sasaki, Y., Jha, D., Yoshiyasu, Y., Kanezaki, A., "Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2020.
      BibTeX TR2020-141 PDF Software
      • @inproceedings{Ota2020nov,
      • author = {Ota, Kei and Sasaki, Yoko and Jha, Devesh and Yoshiyasu, Yusuke and Kanezaki, Asako},
      • title = {Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path},
      • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2020,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2020-141}
      • }
    •  Ota, K., Oiki, T., Jha, D.K., Mariyama, T., Nikovski, D.N., "Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?", International Conference on Machine Learning (ICML), Daumé III , Hal and Singh, Aarti, Eds., June 2020, pp. 7424-7433.
      BibTeX TR2020-083 PDF Software
      • @inproceedings{Ota2020jun,
      • author = {Ota, Kei and Oiki, Tomoaki and Jha, Devesh K. and Mariyama, Toshisada and Nikovski, Daniel N.},
      • title = {Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2020,
      • editor = {Daumé III , Hal and Singh, Aarti},
      • pages = {7424--7433},
      • month = jun,
      • publisher = {PMLR},
      • url = {https://www.merl.com/publications/TR2020-083}
      • }
    See All Publications for Kei

  • Other Publications

    •  Rui Fukushima, Kei Ota, Asako Kanezaki, Yoko Sasaki and Yusuke Yoshiyasu, "Object Memory Transformer for Object Goal Navigation", 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 11288-11294.
      BibTeX
      • @Inproceedings{Fukushima2022,
      • author = {Fukushima, Rui and Ota, Kei and Kanezaki, Asako and Sasaki, Yoko and Yoshiyasu, Yusuke},
      • title = {Object Memory Transformer for Object Goal Navigation},
      • booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
      • year = 2022,
      • pages = {11288--11294}
      • }
    •  Hana Hoshino, Kei Ota, Asako Kanezaki and Rio Yokota, "OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching", 2022 International Conference on Robotics and Automation (ICRA), 2022, pp. 448-454.
      BibTeX
      • @Inproceedings{Hoshino2022,
      • author = {Hoshino, Hana and Ota, Kei and Kanezaki, Asako and Yokota, Rio},
      • title = {OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching},
      • booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
      • year = 2022,
      • pages = {448--454}
      • }
    •  Yuhei Kikuya, Masanori Matsushita, Masaya Koga, Kei Ohta, Yuki Hayashi, Takehiko Koike, Toshiki Ozawa, Yoichi Yatsu and Saburo Matunaga, "Fault Tolerant Circuit Design for Low-cost and Multi-Functional Attitude Sensor Using Real-time Image Recognition", 31st International Symposium on Space Technology and Science, 2017, pp. 3-9.
      BibTeX
      • @Inproceedings{kikuya2017fault,
      • author = {Kikuya, Yuhei and Matsushita, Masanori and Koga, Masaya and Ohta, Kei and Hayashi, Yuki and Koike, Takehiko and Ozawa, Toshiki and Yatsu, Yoichi and Matunaga, Saburo},
      • title = {Fault Tolerant Circuit Design for Low-cost and Multi-Functional Attitude Sensor Using Real-time Image Recognition},
      • booktitle = {31st International Symposium on Space Technology and Science},
      • year = 2017,
      • pages = {3--9}
      • }
    •  Yoichi Yatsu, Nobuyuki Kawai, Shin'ichi KIMURA, Masanori MATSUSHITA, Shota KAWAJIRI, Kyosuke TAWARA, Kei Ohta and Masaya KOGA, "What We Learned from the Tokyo Tech 50 kg-satellite TSUBAME""", 2017 Small Satellite Conference, 2017.
      BibTeX
      • @Article{yatsu2017we,
      • author = {Yatsu, Yoichi and Kawai, Nobuyuki and KIMURA, Shin'ichi and MATSUSHITA, Masanori and KAWAJIRI, Shota and TAWARA, Kyosuke and Ohta, Kei and KOGA, Masaya},
      • title = {What We Learned from the Tokyo Tech 50 kg-satellite TSUBAME""},
      • booktitle = {2017 Small Satellite Conference},
      • year = 2017
      • }

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