arXiv (All)
open access
Compact Bellman-Grounded Cognitive Maps for Cost-Aware Navigation
Biological agents navigate familiar environments not by re-solving routes for each new goal, but by reusing a learned map built once and read off as goals change. Existing artificial cognitive-map models mimic this reuse, yet their guidance is not explicitly grounded in additive heterogeneous route
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
- Compact Bellman-Grounded Cognitive Maps for Cost-Aware Navigation#660876
- Towards a cognitive architecture to enable natural language interaction in co-constructive task learning#965846
- NaViRrator: Robot Navigation from Human-Readable Maps through a Learned Visual Route#1035723
- Pelican-Sim 1.0: A General World Model Simulator for Embodied Intelligence#1000010
- STRUCTUREDAGENT: Planning with AND/OR Trees for Long-Horizon Web Tasks#1036639
Record · ID 972055
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