An environment of the board game Go using OpenAI's Gym API
-
Updated
May 3, 2022 - Python
An environment of the board game Go using OpenAI's Gym API
An unoffical implementation of AlphaHoldem. 1v1 nl-holdem AI.
hyper optimized alpha zero implementation to play gomoku (distributed training with ray, mcts with cython)
The board game Go implemented in JAX for fast game processing and machine learning training.
Add a description, image, and links to the alpha-go topic page so that developers can more easily learn about it.
To associate your repository with the alpha-go topic, visit your repo's landing page and select "manage topics."