In this paper we propose how to accelerate Qlearning which is one of the most successful reinforcement learning methods using mirror images for hunting problems. Mirror images have symmetric differences of views, and they allow us to accelerate Q-learning dramatically. In the results we show Q-learning goes 2 times faster (one mirror) or 3 times faster (2 mirrors) but a few percents of capturing ability decreases. Moreover, we prove that the proposed approach converges if the one with no mirror does.