Metadata-Version: 2.1
Name: openCFR
Version: 1.0.0
Summary: A Python implementation of Counterfactual Regret Minimization (CFR).
Home-page: https://github.com/stockhamrexa/OpenCFR
Author: Rex Stockham
Author-email: rexstockham13@gmail.com
License: MIT
Keywords: CFR,CFR+,CFR plus,chance sampling,Counterfactual Regret Minimization,game tree,heads-up no-limit,imperfect information,Kuhn,MCCFR,Monte Carlo Counterfactual Regret Minimization,Nash equilibrium,outcome sampling,poker,Python,regret based pruning,rock-paper-scissors,Texas Hold-Em,zero sum
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
License-File: LICENSE.txt
Requires-Dist: numpy (>=1.23.0)
Requires-Dist: tqdm (>=4.57.0)

A Python library for building the game trees of zero-sum imperfect information games and solving for their Nash equilibrium using Counterfactual Regret Minimization (CFR).
