2 papers
cs.CV2026
World Model Self-Distillation: Training World Models to Solve General Tasks
Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan +1
Pretrained video generators are promising visual world models that exhibit emergent task-solving abilities; however, their reliance on detailed textual descriptions limits their di…
cs.LG2026
Composition of Memory Experts for Diffusion World Models
Sebastian Stapf, Pablo Acuaviva Huertos, Aram Davtyan +1
World models aim to predict plausible futures consistent with past observations, a capability central to planning and decision-making in reinforcement learning. Yet, existing archi…