Learning Transferable Dynamics Priors from Action to World Modeling

Ze Huang, Jiahui Zhang, Hairuo Liu +3

We study action-conditioned world modeling as a scalable way to learn transferable dynamics priors for robot learning. By pretraining a model to predict how actions drive visual sc…