The microprocessors emerged in the beginning of the 70s; with them the computers got greater capacity to process huge numbers of data. This was of great help to the software engineers who worked in the artificial intelligence AI field, with machine learning as a central part to AI research. Our main task is to develop a simple board game of connect-4 then implement a self learning game player Agent using reinforcement learning. This report will include the methods that will be implemented on the Agent and the following results after a large amount of games have been executed.