World Models
Summary
World models are predictive models of environment dynamics used for reasoning, planning, and policy evaluation.
What The Wiki Currently Believes
- APTAMI treats configurable predictive world models as essential for autonomous agents.
- LeWorldModel gives a compact end-to-end JEPA world model from pixels for control.
- Reconstruction or Semantics? shows that latent-space choice matters for robotic diffusion world models and that semantic latents can be more policy-relevant than reconstruction latents.
- Beyond Language Modeling reports that unified multimodal pretraining can naturally induce world-modeling capabilities.
Evidence
The corpus moves from conceptual architecture to model selection: build predictive latent dynamics, but choose the latent space according to downstream planning relevance rather than visual fidelity alone.
Open Questions
- How should long-horizon planning be layered on top of compact latent predictors?
- Are semantic latents sufficient for control tasks that require precise geometry?