Yoshihisa Tsurumine

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研究焦点

主要成就

代表论文

1. 1
   Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation

   179 次引用 · 2018
2. 2
   Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation

   24 次引用 · 2019
3. 3
   Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation

   18 次引用 · 2022
4. 4
   Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization

   16 次引用 · 2023
5. 5
   Deep dynamic policy programming for robot control with raw images

   14 次引用 · 2017
6. 6
   Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA

   6 次引用 · 2021
7. 7
   Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation

   5 次引用 · 2022
8. 8
   Variationally Autoencoded Dynamic Policy Programming for Robotic Cloth Manipulation Planning based on Raw Images

   4 次引用 · 2022
9. 9
   Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots

   2 次引用 · 2024
10. 10
    Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation

    2 次引用 · 2025

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