#artificial intelligence
Dec 2025
What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
This work characterize models from this family of methods as JEPA-WMs and investigates the technical choices that make algorithms from this class work, and proposes a model that outperforms two established baselines, DINO-WM and V-JEPA-2-AC, in both navigation and manipulation tasks.
Basile Terver, Tsung-Yen Yang, Jean Ponce et al.
· Trans. Mach. Learn. Res. · 49 citations
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