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Yuki Kadokawa

Project Assistant Professor

Nara Institute of Science and Technology（NAIST）

Japan

Research Interests

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Professors in Japan Professors in Reinforcement Learning Reinforcement Learning professors in Japan

Articles (8)

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Collaborators (3)

Jonas Frey

ETH Zurich

SWITZERLAND

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Takamitsu Matsubara

Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Cheng-Yu Kuo

Assistant Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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ApplyKite TwinLearns as you apply

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Yuki Kadokawa

Research Interests

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Articles (8)

DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition

Distilled Iterative Value Conversion: Reducing FPNN-to-SNN Conversion Errors via Distillation in Reinforcement Learning for Neurochip-Driven Edge Robots

Prolonging Tool Life: Learning Skillful Use of General-Purpose Tools Through Lifespan-Guided Reinforcement Learning

Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning

Learning Quiet Walking for a Small Home Robot

Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots

Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization

Learning Robotic Powder Weighing from Simulation for Laboratory Automation

Collaborators (3)

Jonas Frey

Takamitsu Matsubara

Cheng-Yu Kuo

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