Yuki Kadokawa
Scholar

Yuki Kadokawa

Google Scholar ID: 7vig4HcAAAAJ
Nara Institute of Science and Technology
Reinforcement LearningRoboticsSim-to-RealMachine Learning
Citations & Impact
All-time
Citations
45
 
H-index
3
 
i10-index
2
 
Publications
12
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - International Journal Papers:
  • - DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition (under review)
  • - Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning (under review)
  • - Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning, IEEE Transactions on Automation Science and Engineering (T-ASE), 2025
  • - Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots, Robotics and Autonomous Systems (RAS), 2024
  • - Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization, Robotics and Autonomous Systems (RAS), 2023
  • - Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA, IEEE Robotics and Automation Letters (RA-L), 2021 (Student Paper Award)
  • - International Conference Papers:
  • - Learning Quiet Walking for a Small Home Robot, International Conference on Robotics and Automation (ICRA), 2025
  • - Scalable Domain Randomized Reinforcement Learning for Sim-to-Real Policy Transfer in Complex Robot Tasks, International Symposium on Artificial Life and Robotics (AROB), 2025
  • - Learning Robotic Powder Weighing from Simulation for Laboratory Automation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
  • - Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA, IEEE International Conference on Robotics and Automation (ICRA, RA-L option), 2023
  • - Domestic Conference Papers:
  • - ドメインランダム化強化学習による油圧ショベルの土砂中の障害物除去タスク実現, 日本ロボット学会学術講演会, 2025
  • - 到達状態拡張による対照強化学習の汎化, 日本ロボット学会学術講演会, 2025
  • - 柔軟な群ロボット協調輸送のための非対称アクター・クリティック型マルチエージェント強化学習, 日本ロボット学会学術講演会, 2025
Research Experience
  • - Current Position: Project Assistant Professor at Nara Institute of Science and Technology
  • - Involved in multiple international journal and conference paper publications
  • - Research projects include DAPPER, prolonging tool life, etc.
Education
  • - Doctor of Engineering, Nara Institute of Science and Technology, Program of Information Science and Engineering, 2024
  • - Master of Engineering, Nara Institute of Science and Technology, Program of Information Science and Engineering, 2021
  • - Bachelor of Engineering, Toyama Prefectural University, Department of Intelligent Robotics, 2019
Background
  • Research Interests: Robot control, reinforcement learning, deep learning
  • Specialization: Information Science and Engineering
  • Profile: Currently a Project Assistant Professor at Nara Institute of Science and Technology, focusing on robot skill acquisition and reinforcement learning.