A world model is an AI system that learns a predictive representation of how an environment changes over time. It can use observations, actions, or language to estimate future states and possible outcomes before an agent acts. World models support planning in model-based reinforcement learning, robotics, embodied AI, autonomous driving, and interactive simulation. This site catalogs these systems with model records, research papers, benchmark context, and source links. Start with the world models database, compare systems on the leaderboard, or read the Performance Index methodology.
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| Attribute | Value |
|---|---|
| Event | [Lab Update] How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows |
| Source | Hugging Face |
| Type | Lab Update |
| Published | Wed, 23 Sep 2026 18:41:40 GMT |
| Related Models | 0 |
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Published by world-models.io editorial board.
Lead editor Bernard Grenat.
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