Model Space Reasoning as Search in Feedback Space for Planning Domain Generation

“Researchers are exploring how agentic language model feedback frameworks can improve the generation of planning domains from natural language descriptions. While LLMs show promise in assisting domain generation, they currently fall short of producing deployment-ready domains, making this feedback-based approach a critical step toward more practical AI planning systems.”