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Accelerating Reinforcement Learning by Mirror Images
Takehiro Kitao, Takao Miura
145 - 160
10.3233/978-1-61499-720-7-145
Frontiers in Artificial Intelligence and Applications
Volume 292: Information Modelling and Knowledge Bases XXVIII
Abstract

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.

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