Computer Software Laboratory

研究実績

2021年

IEEE ICM 2021 採録論文

  • GBDT Modeling of Deep Reinforcement Learning Agents Using Distillation
    Toshiki Hatano(波多野 利樹) Toi Tsuneda(常田 登生) Yuta Suzuki (鈴木 悠太) Kuniyasu Imade(今出 晋靖) Kazuki Seshimo (瀬下 和輝) and Satoshi Yamane (山根 智)

2020年

IEEE GCCE 2020 採録論文

IEEE CANDAR 2020 採録論文

  • Efficient Exploration by Decision Making Considering Curiosity and Episodic Memory in Deep Reinforcement Learning
    Daiki Kuyoshi(久吉 大輝) Kuniyasu Imade(今出 晋靖) and Satoshi Yamane (山根 智)
  • An Image Classification Model that Learns MNIST Image Features and Numerical Information
    Yuta Suzuki(鈴木 悠太) Toshiki Hatano(波多野 利樹) Toi Tsuneda and Satoshi Yamane(山根 智)
  • Q-learning in Continuous Action Space by Extending EVA
    Toi Tsuneda(常田 登生) Daiki Kuyoshi(久吉 大輝) and Satoshi Yamane(山根 智)
  • Transfer Learning Algorithm for Object Detection
    Yuta Suzuki(鈴木 悠太) Daiki Kuyoshi(久吉 大輝) and Satoshi Yamane(山根 智)
  • Image Classification with Additional Non-decision Labels using Self-supervised learning and GANs
    Toshiki Hatano(波多野 利樹) Toi Tsuneda(常田 登生) Yuta Suzuki(鈴木 悠太) and Satoshi Yamane(山根 智)

2019年