Research
AI agents often struggle to plan movements because their internal representations of the physical world can be overly tangled. CDS PhD stude…
AI agents often struggle to plan movements because their internal representations of the physical world can be overly tangled. CDS PhD student Ying Wang (@yingwww_) shows how straightening these pathw
AI agents often struggle to plan movements because their internal representations of the physical world can be overly tangled. CDS PhD student Ying Wang (@yingwww_) shows how straightening these pathways improves AI navigation. Accepted to ICML 2026. https://nyudatascience.medium.com/improving-world-models-a-neuroscience-inspired-approach-to-latent-planning-c745f493a5c2 1/
Source: Yann LeCun (X) | 2026-05-06