arXiv (All)
open access
Box-WAM: Box Trajectories as Compact State Representations for World Action Models
World action models (WAMs) are a category of policy models that ex- plicitly predict both actions and future world states. They have been shown to outperform action-only models across various robotic manipulation tasks. How- ever, representing the future with full-frame video prediction can be compu
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Forward Dynamics Models#1297469
- RM-WAM: Reliable Memory-Augmented World Action Models for Long-Horizon Robot Manipulation#1326555
- WAM-Cache: Staleness-Bounded KV Reuse for Efficient World Action Models#1248681
- What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling#1147808
- What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling#1131684
Record · ID 1342741
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive