online-policy-adaptation-using-rollout


Nameonline-policy-adaptation-using-rollout JSON
Version 1.0.0 PyPI version JSON
download
home_page
SummaryNOMS2024 paper: Online Policy Adaptation for Networked Systems Using Rollout
upload_time2023-09-27 15:21:03
maintainer
docs_urlNone
authorForough Shahabsamani and Kim Hammar
requires_python>=3.8
licenseCreative Commons Attribution-ShareAlike 4.0 International
keywords reinforcement-learning markov-decision-processes rollout networked systems resource management
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "online-policy-adaptation-using-rollout",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "",
    "keywords": "Reinforcement-Learning Markov-Decision-Processes Rollout Networked Systems Resource Management",
    "author": "Forough Shahabsamani and Kim Hammar",
    "author_email": "hammar.kim@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/18/a0/36ca0b7c2cd598c9eca087584c40f821d8bd4345dafe105a72d94472cc33/online_policy_adaptation_using_rollout-1.0.0.tar.gz",
    "platform": "unix",
    "description": "",
    "bugtrack_url": null,
    "license": "Creative Commons Attribution-ShareAlike 4.0 International",
    "summary": "NOMS2024 paper: Online Policy Adaptation for Networked Systems Using Rollout",
    "version": "1.0.0",
    "project_urls": null,
    "split_keywords": [
        "reinforcement-learning",
        "markov-decision-processes",
        "rollout",
        "networked",
        "systems",
        "resource",
        "management"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "31f6c194cb713f31ce33e994f16444fea01a2dc29d7fdc9424584ab088fb38f4",
                "md5": "e860378b212f8f0dba82e74cb326cdc3",
                "sha256": "6d8555a44525af6fc42ea6827171f8bed0cde0aabe66c855c9e9259c467b78ba"
            },
            "downloads": -1,
            "filename": "online_policy_adaptation_using_rollout-1.0.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e860378b212f8f0dba82e74cb326cdc3",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 39297,
            "upload_time": "2023-09-27T15:21:01",
            "upload_time_iso_8601": "2023-09-27T15:21:01.455494Z",
            "url": "https://files.pythonhosted.org/packages/31/f6/c194cb713f31ce33e994f16444fea01a2dc29d7fdc9424584ab088fb38f4/online_policy_adaptation_using_rollout-1.0.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "18a036ca0b7c2cd598c9eca087584c40f821d8bd4345dafe105a72d94472cc33",
                "md5": "51f30bb538ec41491d4450b26fee2e73",
                "sha256": "ab9e74beeac84240971c580b7c6b1a9700918e6aa92c26138043c65c12bd5e21"
            },
            "downloads": -1,
            "filename": "online_policy_adaptation_using_rollout-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "51f30bb538ec41491d4450b26fee2e73",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 30145,
            "upload_time": "2023-09-27T15:21:03",
            "upload_time_iso_8601": "2023-09-27T15:21:03.177555Z",
            "url": "https://files.pythonhosted.org/packages/18/a0/36ca0b7c2cd598c9eca087584c40f821d8bd4345dafe105a72d94472cc33/online_policy_adaptation_using_rollout-1.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-09-27 15:21:03",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "online-policy-adaptation-using-rollout"
}
        
Elapsed time: 0.12067s