In this paper, we consider continuous-time partially observable optimal control problems with exponential-of-integral cost criteria, We derive a rigorous verification theorem when the state and control enter nonlinear in the dynamics. In addition, we show that the quadratic sensor problem is estimation-solvable with respect to a certain cost criterion, The framework relies on dynamic programming and the Hamilton-Jacobi theory.