World Modeling

Toward Compositional Generalization in Object‑Oriented World Modeling

We formulate compositional generalization in object-oriented world modeling, and propose a soft and efficient mechanism for practice.

Learning Symmetric Embeddings for Equivariant World Models

We learn latent representations enforced with known transformation laws (group action), and apply this idea on equivariant latent world modeling.