Eric Jing

Bounding Distributional Shifts in World Modeling through Novelty Detection

Recent work on visual world models shows significant promise in latent state dynamics obtained from pre-trained image backbones. However, most of the current approaches are sensitive to training quality, requiring near-complete coverage of the action and state space during training to prevent diverg