Community blog: What Billiards Reveals About JEPA

[hellojais]

This is a guest community blog post documenting a research study applying LeWM (a recently published JEPA-based world model) to a custom 2D billiards environment.

Summary of findings:

The model learned ball position well (R²=0.988) but velocity poorly (R²=0.33)
Pure JEPA embedding-based planning failed due to uniform latent geometry in this low-visual-complexity domain
A state-based hybrid CEM planner succeeded on novel cross-episode combinations
Findings concretely explain the Two-Room boundary condition described in the original LeWM paper
All assets are live:

Code: https://github.com/hellojais/le-wm
Dataset: https://huggingface.co/datasets/hellojais/billiards-worldmodel
Model: https://huggingface.co/hellojais/lewm-billiards

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[hellojais]

@pcuenca requesting a light review when you get a chance. All checklist items are complete — metadata, date, _blog.yml entry, and all assets are live on GitHub/HuggingFace.