Norio Kosaka

強化学習や画像系の研究開発

Conducts research on click-through rate prediction, product background generation, human motion imitation, and 3D model generation. Develops machine learning solutions for product optimization and content generation.

Develops and implements offline policy evaluation methods and recommender systems. Conducts research on reinforcement learning algorithms and their practical applications.

Conducted research on offline policy evaluation methods for reinforcement learning. Assisted in developing evaluation frameworks and methodologies.

Researched and developed model-based reinforcement learning approaches for robot simulation. Implemented algorithms and conducted experiments in simulated robotic environments.

Conducted research on robotic arm operations and control. Worked on remote projects involving robotic manipulation and automation.