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The Knowledge Hub for AI World Models

What Are World Models?

World models are AI systems that learn internal representations of environment dynamics, enabling prediction, planning, and imagination-based learning.

robotics model-based-rl simulation embodied-ai

Quick Answer

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  • World models are AI systems that learn internal representations of environment dynamics so they can predict future states, simulate outcomes, and support planning or control.
  • This hub is the starting point for understanding what world models are, why they matter, and which architectures, labs, and use cases define the field.

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Published by world-models.io editorial board.

Lead editor Bernard Grenat.

This reference hub explains what world models are, how they work, and how related pages are maintained against primary sources.

Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-06-21.

Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve.

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