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).
Raw data
{
"_id": null,
"home_page": "https://github.com/stockhamrexa/OpenCFR",
"name": "openCFR",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"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",
"author": "Rex Stockham",
"author_email": "rexstockham13@gmail.com",
"download_url": "",
"platform": null,
"description": "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).\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A Python implementation of Counterfactual Regret Minimization (CFR).",
"version": "1.0.0",
"split_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"
],
"urls": [
{
"comment_text": "",
"digests": {
"md5": "23e49390bd60bc78f7418a4f6bd14a91",
"sha256": "052cb10b279f5a9846b64c0c7406623386d59bbe5d9ee3d4de029fd1fc1ed1e3"
},
"downloads": -1,
"filename": "openCFR-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "23e49390bd60bc78f7418a4f6bd14a91",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 3640233,
"upload_time": "2022-11-30T04:14:40",
"upload_time_iso_8601": "2022-11-30T04:14:40.933151Z",
"url": "https://files.pythonhosted.org/packages/70/3b/a42223b5589134f33a9a155989a7bf980d6d8021e460774a79aa3cf38478/openCFR-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-11-30 04:14:40",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "stockhamrexa",
"github_project": "OpenCFR",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "numpy",
"specs": [
[
">=",
"1.23.0"
]
]
},
{
"name": "tqdm",
"specs": [
[
">=",
"4.57.0"
]
]
}
],
"lcname": "opencfr"
}