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Playing Tic Tac Toe with Neural Networks

Playing Tic Tac Toe with Neural Networks. Justin Herbrand CS/ECE/ME 539. Reason Entertainment Learn the basic idea behind other video games AI Learn what is going on behind the scenes of video games. Goal. Build a game of tic tac toe that could play a human player

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Playing Tic Tac Toe with Neural Networks

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  1. Playing Tic Tac Toewith Neural Networks Justin Herbrand CS/ECE/ME 539

  2. Reason • Entertainment • Learn the basic idea behind other video games AI • Learn what is going on behind the scenes of video games

  3. Goal • Build a game of tic tac toe that could play a human player • Try predict moves where the human player might be going and defend against it • Use a MLP to predict the nonlinear pattern that human players have

  4. Why MLP • It can predict non-linear patterns since not to many people follow a specific pattern. • See if we can teach a computer to play games and not just give it a algorithm to play it.

  5. Results • Have a working game where the human can interact with the computer • Not a very difficult neural network that challenges the human player

  6. Game Play • Basically you pick a number that corresponds to the locations of the board to make a move • Then the computer goes • Goal: Get three in a row

  7. Development • Try to improve the neural network to make the game harder for the user to play • Develop better data points to train the MLP what a good move will be

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