Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning

Xuan Zhang, Zhijian Zhou, Lingfeng Qiao +6

Large language model (LLM) agents have demonstrated strong capability in sequential decision-making, yet they remains fundamentally reactive in long-horizon tasks. Unlike humans wh…