Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback

Mengkang Hu, Bowei Xia, Yuran Wu +9

Symbolic world models (e.g., PDDL domains or executable simulators) are central to model-based planning, but training LLMs to generate such world models is limited by the lack of l…