An implementation of the AlphaGo Zero and the AlphaZero algorithm for othello playing.
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Updated
Jul 21, 2021 - Python
An implementation of the AlphaGo Zero and the AlphaZero algorithm for othello playing.
AI reversi homework in Zhejiang University. It wins the competition on momodel resorting to a good heuristic function.
An Othello / Reversi AI using Monte Carlo Tree Search algorithm.
Othello Game Application Implemented with Alpha-Beta Algorithm in SWI-Prolog's Logic Programming Language ♟️
Othello game framework made with JavaFX which can be use for testing Othello AI Agents.
A DOS-based Othello (Реверси) game, written using Borland C++ graphics driver. Supports PvP and PvC modes.
Reversi/Othello game logic, GUI, multiplayer server and AI players
AI agent and UI to play Reversi/Othello
MinMax AI with Alpha-beta pruning for Othello board game
An Othello game implementation in python with Monte Carlo Method using TKinter
Othello/Reversi Game in Python3, equipped with GUI + AI Player, made using pygame.
Othello Game (Also known as Reversi). It was created with the Minimax algorithm (Alpha-Beta pruning). Allows Human-AI, AI-AI, RandomPlayer-AI, RandomPlayer-Human interplay
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
Server to play with the Reversi AI https://github.com/marcluque/Reversi-AI
This repository contains a Python implementation of the classic game Tic Tac Toe with AI opponent. The game is played on a 3x3 grid by two players, one using 'X' and the other using 'O'. The player who first gets 3 of their marks in a row (up, down, across, or diagonally) is the winner.
Reversi cli engine written for my AI class using a minimax variant. (UWr Sztuczna Inteligencja)
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