FM Agents in Map Environments: Exploration, Memory, and Reasoning
Published:Dec 30, 2025 23:04
•1 min read
•ArXiv
Analysis
This paper investigates how Foundation Model (FM) agents understand and interact with map environments, crucial for map-based reasoning. It moves beyond static map evaluations by introducing an interactive framework to assess exploration, memory, and reasoning capabilities. The findings highlight the importance of memory representation, especially structured approaches, and the role of reasoning schemes in spatial understanding. The study suggests that improvements in map-based spatial understanding require mechanisms tailored to spatial representation and reasoning rather than solely relying on model scaling.
Key Takeaways
- •Interactive evaluation framework for FM agents in map environments.
- •Memory representation, especially structured approaches, is crucial for spatial understanding.
- •Reasoning schemes shape how spatial knowledge is used.
- •Improvements require tailored mechanisms, not just scaling.
Reference
“Memory representation plays a central role in consolidating spatial experience, with structured memories particularly sequential and graph-based representations, substantially improving performance on structure-intensive tasks such as path planning.”