AI Poker Agent based on Game Theory

Abstract

Game Theory missions with the mathematical study of decision making via strategic interactions. Games are a standout amidst the most evident territories of advancement in the AI space. The splendid information games like Chess, Jeopardy and Go have been mastered by the AI Systems. However, Imperfect information games like No Limit Texas Hold’em variant of poker is further yet a challenge to the AI Industry. In this paper we highlight the importance of Game Theory and how the concepts of game theory and opponent modeling is equally important in modeling an AI poker agent