Applying Reinforcement learning to find the logic puzzles solution

Abstract

Solving problems, which are presented as games can help find solutions to complex tasks, which are divided into subtasks. In this article Reinforcement learning is applied in order to find the solutions to some logic games. Experiments on the training of the modeled agent with different values of the learning parameter have been performed and conclusions have been drawn.