♟️ Vectorized RL game environments in JAX
A simplified version of Go game in Python, with AI agents built-in and GUI to play.
This tool generates randomized PDFs of tsumego from "Cho Chikun's Encyclopedia of Life & Death" and other collections, with easier problems having a solution key available. These can be printed in the form of packets or booklets. It can also create custom Go boards to print out and use.
A reference implementation of spherical go by using snub dodecahedron
An integrated interactive go-game system.
Genetic Algorithm based approach to breeding zero-prior-knowledge GO playing agents.
This the repository for the creation of the game of using deep learning and reinforcement learning
Ai agent vs Human
Complete Python implementation of the Go board game with ADTs and functional programming. Features 9×9/13×13/19×19 boards, full rule enforcement (Ko, suicide), territory calculation, and scoring system. Academic project for IST's Fundamentals of Programming course.
From scratch implementations of Google Deep Minds algorithm, AlphaZero, trained to play the games of Go and Ataxx.
Go Playing AI Agent: A sophisticated artificial intelligence system that plays the strategic board game Go (Weiqi/Baduk) on a 5x5 board. It features the usage of machine learning algorithms, game tree search, and strategic position evaluation.
Experimental Go bot implemented in PyTorch.
A modern Python implementation of Little-Go (5x5 Go) with AI agents and GUI. Includes multiple strategy bots (random, greedy, aggressive, alpha-beta) and a custom Alpha-Beta bot that outperformed in class tournaments. Features a tournament simulator and sleek Tkinter interface for manual and automated play.
An AI GO game with AlphaBetaPuring
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