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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A component that converts continuous data (images, video frames, states) into discrete tokens that can be processed by transformer-based architectures. In world models like IRIS, visual tokenizers convert image observations into sequences of discrete tokens for autoregressive prediction.
Tokenizer is a glossary concept in the architecture layer of the world models knowledge base.
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| Attribute | Value |
|---|---|
| Term | Tokenizer |
| Category | Architecture |
| Definition | A component that converts continuous data (images, video frames, states) into discrete tokens that can be processed by transformer-based architectures. In world models like IRIS, visual tokenizers convert image observations into sequences of discrete tokens for autoregressive prediction. |
| Related Models | 2 |
| Related Research | 0 |
| Model | Lab | Category |
|---|---|---|
| IRIS | Microsoft Research | Model-Based RL |
| NVIDIA Cosmos | NVIDIA | Foundation World Model |
| Term | Category | Definition |
|---|---|---|
| Autoregressive Model | Architecture | A model that generates outputs one element at a time, where each output depends on previous elements. IRIS treats world modeling as autoregressive token prediction, bridging language modeling and world modeling techniques. |
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Published by world-models.io editorial board.
Lead editor Bernard Grenat.
This glossary page publishes stable definitions linked to related models, research topics, and primary-source context.
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