As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this investigation, we propose how to accelerate Q-learning 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 this investigation, we show Q-learning goes 2 times faster (one mirror) or 3 times faster (2 mirrors) but a capturing ability decreased slightly even if intervention happens. Moreover, we prove that the new approach gets to the convergence if the one with no mirror does.
loading subjects...
