Yuki Kadokawa - RankMe

19 papers A* 1A 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition. IEEE Robotics Autom. Mag. Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
2026	J	`jnl`	DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport. CoRR Kazuki Shibata, Ryosuke Sota, Shandil Dhiresh Bosch, Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
2026	J	`jnl`	Distilled Iterative Value Conversion: Reducing FPNN-to-SNN Conversion Errors via Distillation in Reinforcement Learning for Neurochip-Driven Edge Robots. IEEE Access Yuki Kadokawa, Tomoya Yamanokuchi, Alonso Ramos Fernandez, Takanori Homma, Takamitsu Matsubara
2026	J	`jnl`	Prolonging Tool Life: Learning Skillful Use of General-Purpose Tools Through Lifespan-Guided Reinforcement Learning. IEEE Access Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa, Takamitsu Matsubara
2026	J	`jnl`	Robust Sim-to-Real Cloth Untangling through Reduced-Resolution Observations via Adaptive Force-Difference Quantization. CoRR Yoshihisa Tsurumine, Yuki Kadokawa, Kohei Hayashi, Christian Diehm, Takamitsu Matsubara
2026	J	`jnl`	ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement Learning. CoRR Issa Nakamura, Tomoya Yamanokuchi, Yuki Kadokawa, Jia Qu, Shun Otsubo, Ken Miyamoto, Shotaro Miwa, Takamitsu Matsubara
2025	J	`jnl`	DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition. CoRR Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
2025	A*	`conf`	Learning Quiet Walking for a Small Home Robot. ICRA Ryo Watanabe, Takahiro Miki, Fan Shi, Yuki Kadokawa, Filip Bjelonic, Kento Kawaharazuka, Andrei Cramariuc, Marco Hutter
2025	J	`jnl`	Learning Quiet Walking for a Small Home Robot. CoRR Ryo Watanabe, Takahiro Miki, Fan Shi, Yuki Kadokawa, Filip Bjelonic, Kento Kawaharazuka, Andrei Cramariuc, Marco Hutter
2025	J	`jnl`	Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning. IEEE Trans Autom. Sci. Eng. Yuki Kadokawa, Hirotaka Tahara, Takamitsu Matsubara
2025	J	`jnl`	Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning. CoRR Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa, Takamitsu Matsubara
2024	J	`jnl`	Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulation for Time-Efficient Fine-Resolution Policy Learning. CoRR Yuki Kadokawa, Hirotaka Tahara, Takamitsu Matsubara
2024	J	`jnl`	Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots. CoRR Yuki Kadokawa, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara
2024	J	`jnl`	Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots. Robotics Auton. Syst. Yuki Kadokawa, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara
2023	J	`jnl`	Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics Auton. Syst. Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
2023	A	`conf`	Learning Robotic Powder Weighing from Simulation for Laboratory Automation. IROS Yuki Kadokawa, Masashi Hamaya, Kazutoshi Tanaka
2022	J	`jnl`	Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
2021	J	`jnl`	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. CoRR Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
2021	J	`jnl`	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. IEEE Robotics Autom. Lett. Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara