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papersTODAY 04:00 UTC

GeoSkill: Experience-Driven Hierarchical Skill Learning for Geospatial Agents

A new arXiv paper introduces GeoSkill, a framework that lets geospatial agents turn past task executions into reusable procedural knowledge instead of handling each workflow in isolation. The approach learns skills hierarchically and applies a collaborative revision step so agents can adapt as analytical tasks recur and change over time. It targets settings where agents must support ongoing, evolving geospatial analysis rather than one-off jobs.

agents/geospatial/skill-learning/arxiv