Summary: Optimal adaptive controllers based on input matching for stochastic systems are studied by using least-squares algorithms. The one-step-ahead least-squares method is established and the convergence rate of the parameter estimation is obtained. Without any exciting condition it is shown that the closed-loop system is globally stable and adaptive control converges to the one-step-ahead optimal control.