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A comparison of machine leaming methods using a two player board game | IEEE Conference Publication | IEEE Xplore

A comparison of machine leaming methods using a two player board game


Abstract:

The board games are usually performed by game theory algorithms: minimax and minimax with alpha-beta pruning. Tic-tac-toe (X-O) is the best-known two-player board game. T...Show More

Abstract:

The board games are usually performed by game theory algorithms: minimax and minimax with alpha-beta pruning. Tic-tac-toe (X-O) is the best-known two-player board game. The game tic-tac-toe, based on machine learning algorithms, has been shown in this research. The neural network has been developed and trained to play the game utilizing three implemented agents: an agent based on deep Q-learning, an agent based on policy gradient method and a random agent. The agent can play the game perfectly in the 10-minute training interval, on an average graphics processing unit.
Date of Conference: 01-04 July 2019
Date Added to IEEE Xplore: 11 October 2019
ISBN Information:
Conference Location: Novi Sad, Serbia

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