Currently we only support a 20 card deck without modification. We do this with two types of compression: lossy and lossless compression. In order to make this information tractable, we must group together strategically similar situations. In poker, the number of card combinations for one player on the river can exceed 56 billion combinations.

Once you have an agent, and want to play against it, you can do the following: poker_ai play -help How to get information on resuming training: poker_ai train resume -help How to get information on training an agent: poker_ai train start -help Here is more information on that: poker_ai cluster -help You will need to produce some lookup tables that cluster the various information sets. How to get a list of commands that can be run: poker_ai -help To get help on any option, just add the -help flag when invoking the CLI. We have a CLI that will be installed when you pip install the package.

Or if you want to dev on our code, install the Python package from source by cloning this repo and pip -e installing it: git clone # Though really we should use ssh here! cd /path/to/poker_ai InstallingĮither install from pypi: pip install poker_ai This repository assumes Python 3.7 or newer is used. Made with love from the developers Leon and Colin. This repository will contain a best effort open source implementation of a poker AI using the ideas of Counterfactual Regret.

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