Metadata-Version: 2.1
Name: pvat
Version: 0.0.0.dev2
Summary: Python implementations of variance reduction techniques for extensive-form games
Home-page: https://github.com/uoftcprg/pvat
Author: University of Toronto Computer Poker Student Research Group
Author-email: uoftcprg@studentorg.utoronto.ca
License: MIT
Project-URL: Documentation, https://pvat.readthedocs.io/en/latest/
Project-URL: Source, https://github.com/uoftcprg/pvat
Project-URL: Tracker, https://github.com/uoftcprg/pvat/issues
Keywords: aivat,artificial-intelligence,deep-learning,divat,game,game-development,game-theory,holdem-poker,imperfect-information-game,libratus,mivat,pluribus,poker,python,reinforcement-learning,texas-holdem
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Topic :: Education
Classifier: Topic :: Games/Entertainment
Classifier: Topic :: Games/Entertainment :: Board Games
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.11
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: numpy <2,>=1.26.4

====
PVAT
====

PVAT: Python Reduction in Variance Techniques is a Python framework for reducing the variance in the outcomes of extensive-form games.
