Nice survey! This comprehensive survey tackles the fragmented field of World Models, systems that help AI predict how environments change. It unifies them into four key paradigms, from learning directly from observations to understanding objects and actions. This survey provides a unified map for understanding, comparing, and advancing World Models. It clarifies their performance across robotics, autonomous driving, game simulation, and identifies critical challenges like long-term consistency, charting the course for future AI breakthroughs. Learning to Model the World: A Survey of World Models in Artificial Intelligence Project: github.com/JiahuaDong/Awesom… Paper: techrxiv.org/doi/full/10.362… Our report: mp.weixin.qq.com/s/RYATYwUDg… 📬 #PapersAccepted by Jiqizhixin

→ View original post on X — @jiqizhixin, 2026-04-06 18:27 UTC