CoMAP: Co-Evolving World Models and Agent Policies for LLM Agents
技术动态AI 55
来源：arXiv cs.AI发布时间待核实
arXiv:2606.02372v2 Announce Type: replace Abstract: Equipping language agents with world models enables them to anticipate environment dynamics and evaluate candidate actions before execution. However, existing textual world models are typically fixed after training, preventing them from adapting to the on-policy state-action distributions induced by an evolving agent.