Artificial intelligence of the Reversi / Othello
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Updated
Apr 26, 2018 - Java
Artificial intelligence of the Reversi / Othello
Othello game and my AI practicing platform in Java
An AI for a modified Reversi version. The AI works with a game server that manages the game (https://github.com/marcluque/Reversi-Server)
Reversi game with Min-Max algorithm with alpha-beta pruning
First try to Othello/Reversi.
A java implementation of reversi / othello for two players/computers
This Project belongs to the course Artificial Intelligence, given by the master. I did this project with contribution to Mohsen Rahnamaei.
A program that implements the popular strategy board game 'Othello' using Java and the Swing GUI Toolkit.
From 2008: Reinforcement Learning (Q-Learning) and playing a game of Othello. Also, Greedy Player, Random Player, and Human Player. This is grad school. More fun times.
Reversi console game using the minimax algorithm
Reversi is a strategy board game for two players
An implementation of the Reversi board game which can be played by two players or by one player versus a computer opponent (using a greedy algorithm) written in Java
Othello or Reversi is a strategy board game played between 2 players. One player plays black and the other white. Each player gets 32 discs and black always starts the game. The goal is to get the majority of colour discs on the board at the end of the game.
A BitBoard implementation for Reversi that is optimized for speed.
Strategy board game for two players
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