FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning

Excerpt

arXiv:2610.05483v1 Announce Type: cross Abstract: World--action models (WAMs) promise a unified model that predicts action-conditioned futures, generates feasible actions, and supports planning in imagination. However, existing joint video--action models often use computationally heavy, fixed-horizon backbones ill-suited to streaming inference and stable long-horizon open-loop rollouts. We introduce FLEX-WAM, a Flexible and Efficient Block-Causal World--Action Model for unified simulation and po