Artificial atom algorithm for reinforcement learning

In this thesis, it is intended to be seen the using Artificial Atom Algorithm which is a metaheuristics algorithm, with Reinforcement Learning Algorithm and whether it is appropriate for such problems by applying this algorithm on Prey Hunter problem. In this study, it is obtained the solution of Prey Hunter problem using the Q Learning algorithm which is a Reinforcement learning algorithm. An application has been developed by applying Artificial Atom Algorithm to prey hunter problem which is an algorithm that based on naturel process as in many of metaheuristics algorithms and it is based on chemical process of compound formation. In the end of the study, it has been observed that Algorithm Artificial Atoms is successful in solving the problem and it can be easily applied to such optimization problem.