Yosuke Nishimoto

Object-Centric World Models for Causality-Aware Reinforcement Learning

World models have been developed to support sample-efficient deep reinforcement learning agents. However, it remains challenging for world models to accurately replicate environments that are high-dimensional, non-stationary, and composed of multiple objects with rich interactions since most world m