| Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization Y Kadokawa, L Zhu, Y Tsurumine, T Matsubara Robotics and Autonomous Systems 165, 104425, 2023 | 8 | 2023 |
| Binarized P-network: deep reinforcement learning of robot control from raw images on FPGA Y Kadokawa, Y Tsurumine, T Matsubara IEEE Robotics and Automation Letters 6 (4), 8545-8552, 2021 | 4 | 2021 |
| Learning Robotic Powder Weighing from Simulation for Laboratory Automation Y Kadokawa, M Hamaya, K Tanaka 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
| Edge-server Deep Reinforcement Learning of Quantized Policy for Neurochip Implimentation T KODERA, Y KADOKAWA, Y TSURUMINE, SYA NISHIMURA, ... 計測自動制御学会制御部門マルチシンポジウム (CD-ROM) 10, 2-6, 2023 | | 2023 |
| FPGA を用いた実時間ロボット制御のための深層強化学習手法 Binary P-Network の提案 Y KADOKAWA, Y TSURUMINE, T MATSUBARA 日本ロボット学会学術講演会予稿集 (CD-ROM) 38, 3-4, 2020 | | 2020 |
| 講演 設計コンテスト 2017 への参加 (富山県立大学チームの事例) 角川勇貴， 中根和城， 神谷和秀 設計工学= Journal of Japan Society for Design Engineering: 日本設計工学会誌 …, 2019 | | 2019 |
Takamitsu MatsubaraProfessor, Nara Institute of Science and TechnologyVerified email at is.naist.jp
