A Study on Data Collection Strategies for World Model Learning

Makoto Kawano, Atsuya Ishizu, Sota Nakamura, Tatsuki Matsunaga, Yasuki Watanabe, Ayuki Inoue, Toshiki Tsuzuku, Yasuhiro Noda

Abstract

This paper examines data collection strategies for efficient world model learning.

Type
Conference paper
Publication
The 39th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2025)
World Models Robotics
Makoto Kawano
Project Assistant Professor, Matsuo Laboratory, The University of Tokyo

Researcher working on transfer learning, deep generative models, foundation models, robotics, autonomous driving, and machine learning for real-world data.