| Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation Y Tsurumine, Y Cui, E Uchibe, T Matsubara Robotics and Autonomous Systems 112, 72-83, 2019 | 173 | 2019 |
| Generative adversarial imitation learning with deep p-network for robotic cloth manipulation Y Tsurumine, Y Cui, K Yamazaki, T Matsubara 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019 | 20 | 2019 |
| Deep dynamic policy programming for robot control with raw images Y Tsurumine, Y Cui, E Uchibe, T Matsubara 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 15 | 2017 |
| Learning food-arrangement policies from raw images with generative adversarial imitation learning J Matsuoka, Y Tsurumine, Y Kwon, T Matsubara, T Shimmura, ... 2020 17th International Conference on Ubiquitous Robots (UR), 93-98, 2020 | 9 | 2020 |
| 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 |
| Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation Y Tsurumine, T Matsubara Robotics and Autonomous Systems 158, 104264, 2022 | 7 | 2022 |
| 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 |
| Randomized-to-canonical model predictive control for real-world visual robotic manipulation T Yamanokuchi, Y Kwon, Y Tsurumine, E Uchibe, J Morimoto, ... IEEE Robotics and Automation Letters 7 (4), 8964-8971, 2022 | 2 | 2022 |
| Variationally autoencoded dynamic policy programming for robotic cloth manipulation planning based on raw images Y Tsurumine, T Matsubara 2022 IEEE/SICE International Symposium on System Integration (SII), 416-421, 2022 | 2 | 2022 |
| Physically consistent preferential Bayesian optimization for food arrangement Y Kwon, Y Tsurumine, T Shimmura, S Kawamura, T Matsubara IEEE Robotics and Automation Letters 7 (4), 11863-11870, 2022 | 1 | 2022 |
| Combining model predictive path integral with Kalman variational auto-encoder for robot control from raw images Y Kwon, T Kaneko, Y Tsurumine, H Sasaki, K Motonaka, S Miyoshi, ... 2020 IEEE/SICE International Symposium on System Integration (SII), 271-276, 2020 | 1 | 2020 |
| 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 |
| Deep Reinforcement Learning with Smooth Policy Update for Robotic Cloth Manipulation Y Tsurumine Nara Institute of Science and Technology, 2020 | | 2020 |
| 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 |
Takamitsu MatsubaraProfessor, Nara Institute of Science and TechnologyGeverifieerd e-mailadres voor is.naist.jp
