World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications

This survey addresses the lack of a unified framework for world models, which are internal simulators used in AI for prediction, planning, and reasoning. It proposes a multi-axis taxonomy organizing their diverse aspects like architecture, methodology, reasoning paradigms, and applications across fields such as reinforcement learning and robotics.