Jooyeon Kim

Deriving a Data-Efficient, Generalist Agent Through World Models

Machine learning researchers long to derive a generalist agent whose problem-solving abilities span over multiple tasks. At the same time, we are also interested in data efficiency, i.e., training agents with fewer, limited training samples. To these two distinctive ends, recent lines of research on world models (WMs)...