pvat


Namepvat JSON
Version 0.0.0.dev2 PyPI version JSON
download
home_pagehttps://github.com/uoftcprg/pvat
SummaryPython implementations of variance reduction techniques for extensive-form games
upload_time2024-06-15 10:43:03
maintainerNone
docs_urlNone
authorUniversity of Toronto Computer Poker Student Research Group
requires_python>=3.11
licenseMIT
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
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ====
PVAT
====

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

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/uoftcprg/pvat",
    "name": "pvat",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.11",
    "maintainer_email": null,
    "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",
    "author": "University of Toronto Computer Poker Student Research Group",
    "author_email": "uoftcprg@studentorg.utoronto.ca",
    "download_url": "https://files.pythonhosted.org/packages/86/b7/332a29c4a659fb0b314a1b56e6362a64b9a9681194471ce313dcf8752204/pvat-0.0.0.dev2.tar.gz",
    "platform": null,
    "description": "====\nPVAT\n====\n\nPVAT: Python Reduction in Variance Techniques is a Python framework for reducing the variance in the outcomes of extensive-form games.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Python implementations of variance reduction techniques for extensive-form games",
    "version": "0.0.0.dev2",
    "project_urls": {
        "Documentation": "https://pvat.readthedocs.io/en/latest/",
        "Homepage": "https://github.com/uoftcprg/pvat",
        "Source": "https://github.com/uoftcprg/pvat",
        "Tracker": "https://github.com/uoftcprg/pvat/issues"
    },
    "split_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"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "521743c1ae8d9dd32c586ae191b19cbc57878237ef51917214707230c405b27c",
                "md5": "83890b3e6deacd8a8ea0addfb848d5ac",
                "sha256": "540ac1539a5383c87630dda8bc4a312b91ea8443a9db6a166b5a8dcad4ef600e"
            },
            "downloads": -1,
            "filename": "pvat-0.0.0.dev2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "83890b3e6deacd8a8ea0addfb848d5ac",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.11",
            "size": 8242,
            "upload_time": "2024-06-15T10:43:02",
            "upload_time_iso_8601": "2024-06-15T10:43:02.767402Z",
            "url": "https://files.pythonhosted.org/packages/52/17/43c1ae8d9dd32c586ae191b19cbc57878237ef51917214707230c405b27c/pvat-0.0.0.dev2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "86b7332a29c4a659fb0b314a1b56e6362a64b9a9681194471ce313dcf8752204",
                "md5": "f65bc64012f603b86ba4ac407b95d272",
                "sha256": "fb2a653266219318a0ec178393dd3eac4ef4d4ab419bb3cfb656f5fb47b3d557"
            },
            "downloads": -1,
            "filename": "pvat-0.0.0.dev2.tar.gz",
            "has_sig": false,
            "md5_digest": "f65bc64012f603b86ba4ac407b95d272",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.11",
            "size": 7563,
            "upload_time": "2024-06-15T10:43:03",
            "upload_time_iso_8601": "2024-06-15T10:43:03.787624Z",
            "url": "https://files.pythonhosted.org/packages/86/b7/332a29c4a659fb0b314a1b56e6362a64b9a9681194471ce313dcf8752204/pvat-0.0.0.dev2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-06-15 10:43:03",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "uoftcprg",
    "github_project": "pvat",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [],
    "lcname": "pvat"
}
        
Elapsed time: 0.29092s