We consider the problem of frequency estimation for a single bosonic field evolving under squeezing Hamiltonian and continuously monitored via homodyne detection. In particular, we exploit reinforcement learning techniques to devise feedback control strategies achieving increased precision. show that determined by neural network greatly surpasses in long-time limit performances both "no-control...