{ "info": { "author": "Jan Hendrik Metzen, Mark Edgington", "author_email": "jhm@informatik.uni-bremen.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Environment :: X11 Applications :: Qt", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License (GPL)", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "Maja Machine Learning Framework\n\nThe Maja Machine Learning Framework (MMLF) is a general framework for \nproblems in the domain of Reinforcement Learning (RL). It provides a \nset of RL related algorithms and a set of benchmark domains. \nFurthermore it is easily extensible and allows to automate \nbenchmarking of different agents. \n\nAmong the RL algorithms are TD(lambda), DYNA-TD, CMA-ES,\nFitted R-Max, and Monte-Carlo learning. MMLF contains different \nvariants of the maze-world and pole-balancing problem class as \nwell as the mountain-car testbed.\n\nFurther documentation is available under http://mmlf.sourceforge.net/\n\nContact the mailing list MMLF-support@lists.sourceforge.net\nif you have any questions.", "description_content_type": null, "docs_url": null, "download_url": "http://downloads.sourceforge.net/project/mmlf/mmlf/1.0/mmlf_1.0.tar.gz", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://mmlf.sourceforge.net/", "keywords": null, "license": "GPL", "maintainer": null, "maintainer_email": null, "name": "mmlf", "package_url": "https://pypi.org/project/mmlf/", "platform": "any", "project_url": "https://pypi.org/project/mmlf/", "project_urls": { "Download": "http://downloads.sourceforge.net/project/mmlf/mmlf/1.0/mmlf_1.0.tar.gz", "Homepage": "http://mmlf.sourceforge.net/" }, "release_url": "https://pypi.org/project/mmlf/1.0/", "requires_dist": null, "requires_python": null, "summary": "The Maja Machine Learning Framework", "version": "1.0" }, "last_serial": 794870, "releases": { "1.0": [ { "comment_text": "", "digests": { "md5": "56bc1f4214961c3d0d780ec075755ecc", "sha256": "faafeb44907ae92d4fc62077909a16fb5bf5f2047529964cfd9ae0f2bdf9d408" }, "downloads": -1, "filename": "mmlf-1.0.zip", "has_sig": false, "md5_digest": "56bc1f4214961c3d0d780ec075755ecc", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3224484, "upload_time": "2011-05-10T12:04:02", "url": "https://files.pythonhosted.org/packages/13/49/40b825661f51bb3fb25840e00ef4368659b774860548ffc6c61e46715eea/mmlf-1.0.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "56bc1f4214961c3d0d780ec075755ecc", "sha256": "faafeb44907ae92d4fc62077909a16fb5bf5f2047529964cfd9ae0f2bdf9d408" }, "downloads": -1, "filename": "mmlf-1.0.zip", "has_sig": false, "md5_digest": "56bc1f4214961c3d0d780ec075755ecc", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3224484, "upload_time": "2011-05-10T12:04:02", "url": "https://files.pythonhosted.org/packages/13/49/40b825661f51bb3fb25840e00ef4368659b774860548ffc6c61e46715eea/mmlf-1.0.zip" } ] }