Distill-Belief: Closed-Loop Inverse Source Localization and Characterization in Physical Fields
{Closed-loop inverse source localization and characterization (ISLC) requires a mobile agent to select measurements that localize sources and infer latent field parameters under strict time constraints.} {The core challenge lies in the belief-space objective: valid uncertainty estimation requires expensive Bayesian inference, whereas using fast learned belief model leads to reward hacking, in which the policy exploits approximation errors rather th
By Yiwei Shi, Zixing Song, Mengyue Yang, Cunjia Liu, Weiru Liu