arXiv (All)
open access
Beyond a single latent space: a dual-latent world model for long-horizon planning
Latent world models often struggle with long-horizon planning despite accurate short-term predictions. Recursive rollouts accumulate errors, while distance concentration in high-dimensional latent spaces can weaken goal discrimination. We introduce the Dual-Latent World Model (Dual-WM), which separa
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
- FIRM-WM: State-factorized factual-interventional recurrent modeling for reward-free visual planning#1037499
- DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot Manipulation#997378
- Latent Energy Action Planning with World Models#925639
- Fast LeWorldModel#1128617
- Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models#266229
Record · ID 1141957
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