2 papers
cs.CV2026
Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
Tim Merino, Sam Earle, Ryunosuke Iwai +2
We introduce Dream-Cubed, a large-scale dataset of Minecraft worlds at voxel resolution, and a family of models using cubes as powerful compositional units for efficient generation…
cs.LG2024
Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting
Edoardo Cetin, Ahmed Touati, Yann Ollivier
The forward-backward representation (FB) is a recently proposed framework (Touati et al., 2023; Touati & Ollivier, 2021) to train behavior foundation models (BFMs) that aim at prov…