Video planners beat world models in Minecraft: 2x on iron pickaxe, 8x on diamonds

vincesitzmann · x · 2026-10-21

Vincent Sitzmann and Hyunwoo Ryu argue video planning is the better path over action-conditioned world models: in offline Minecraft, their video planner + IDM significantly outperforms Dreamer 4, the SOTA world-model agent — roughly 2x success on iron pickaxes and 8x on diamonds. The core argument: data is the deciding factor — there's abundant video on the internet, so training a video planner (their Vera / mirror models) is the easier path to generality, even when expert demonstrations include action labels, since action labels are scarce. Any policy that can't scale with diverse data at scale is hopeless.

Related event: MIT's Mirror: video models as planners, agents learn from experience without rewards(7 posts)→

Original post →

More from Embodied

Embodied channel →