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 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
Othello/Reversi Game in Python3, equipped with GUI + AI Player, made using pygame.
D implementaion of reversi game
Othello AI Using Deep Learning
Interface between USI-X_Othello engine and Python programs
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