Yarı gözlemlenebilir maça kızı kart oyununu takviyeli öğrenme metodu ile öğrenme

Artificial intelligence and machine learning are widely popular in many sectors. One of them is the gaming industry. With many different scenarios, different types, games are perfect for machine learning and artificial intelligence. This study aims to develop learning agents to play the game of Hearts. Hearts is one of the most popular card games in the world. It is a trick based, imperfect information card game. In addition to having a huge state space, hearts offers many extra challenges due to the nature of the game. These challenges are divided into smaller parts where learning is easier and assigned to different learning agents. These agents use temporal difference learning to learn assigned parts.