ATM: Action-Consistency Transfer Matrix for Diagnosing and Improving Latent World Models 事件

ATM: Action-Consistency Transfer Matrix for Diagnosing and Improving Latent World Models arXiv:2606.09028v1 Announce Type: new Abstract: Latent world models are increasingly used for control and goal-conditioned planning, yet assessing whether their learned representations are useful for planning usually requires slow, planner-coupled simulator evaluation with CEM or similar planners. Such evaluation is black-box and model-complexity-dependent: under the same protocol, different world models ma