♟️ Vectorized RL game environments in JAX
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Updated
Mar 6, 2025 - Python
♟️ Vectorized RL game environments in JAX
A simplified version of Go game in Python, with AI agents built-in and GUI to play.
A reference implementation of spherical go by using snub dodecahedron
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.
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
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.
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.
Experimental Go bot implemented in PyTorch.
An AI GO game with AlphaBetaPuring
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