Action-Conditioned World Models Move Into Planning
Action-conditioned predictive models are used to improve generalizable embodied decision-making.
Robot Type: Embodied agents
Temporal Constraints Target More Stable Latent Actions
The research introduces temporally constrained latent-action learning for more coherent embodied control.
Embodied Operators Are Reframed as Deployable Systems
The work argues embodied operators should be evaluated as holistic deployable components rather than isolated models.
