RESEARCH PAPER
Learning to Use Imagination: Progress-Conditioned Future Utilization for World Action Models
Classification
View four quadrants- Major category
- WAMs
- Quadrant
- Not assigned
- Architecture
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- Prediction paradigm
- Not assigned
- Source review status
- Not assigned
Category review. A progress encoder uses executed action-observation feedback to modulate future-token attention in a joint video-action generator that produces control chunks. Reading evidence
Contribution
ProWAM learns execution progress from recent action–observation feedback and recurrent memory, then uses that state to redistribute imagined-future attention inside a joint video–action policy. Its strongest evidence combines executed manipulation results with ablations separating progress estimation from future utilization.
Abstract
An abstract has not been added yet.
Affiliations
Harbin Institute of Technology (Shenzhen), China; Great Bay University, Dongguan, China; University of Electronic Science and Technology of China, Chengdu, China