AINeutralarXiv – CS AI · 10h ago6/10
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Model Space Reasoning as Search in Feedback Space for Planning Domain Generation
Researchers present a novel approach using agentic language model feedback frameworks to generate planning domains from natural language descriptions augmented with symbolic information. The method employs heuristic search over model space optimized by various feedback mechanisms, including landmarks and plan validator outputs, to improve domain quality for practical deployment.