GeoSkill:Experience-Driven Hierarchical Skill Learning with Collaborative Revision forGeospatialAgents
cs.AI
Submitted: 2026-09-12
Updated: 2026-10-11
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications
- Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents
- Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models
- Inner Monologue: Embodied Reasoning through Planning with Language Models
- XSkill: Continual Learning from Experience and Skills in Multimodal Agents
- Designing Domain-Specific Agents via Hierarchical Task Abstraction Mechanism
- Agentic AI for Remote Sensing: Technical Challenges and Research Directions
- Gorilla: Large Language Model Connected with Massive APIs
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
- ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks
- Agent Workflow Memory
- RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
- SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History
- Where LLM Agents Fail and How They can Learn From Failures
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