This is my final project for AI major. In this repository I am researching how well deeplearning can be used for the game of Reversi
You will need java 8 and maven to get everything up and running.
Clone the repository and run mvn compile exec:java. This will pull up the interface and allow you to play against the AI.
You can also the the -Dexec.mainClass="uucki.CreateData" and -Dexec.mainClass="uucki.Learn" to create test data to feed to the neural network and train it. (Very much WorkInProgress at the moment)
Minimax with (and without) alpha beta pruning has been implemented with a basic heuristic that gives weights to cells on the board to determine what move to make. This algorithm will beat most beginner players.
Monte Carlo Tree Search using DeepLearning heuristic - This is a Work in progress but the basic idea has been taken from AlphaGo. It will use a Convolutional Neural Network to determine if a board is better for the black or white player. And a neural network to simulate games at each leaf of the MCTS.