repo_description: Framework for Multi-Agent Deep Reinforcement Learning in Poker
repo_topics: deep-learning framework gym-environment poker ray reinforcement-learning reinforcement-learning-algorithms research
code: # Copyright (c) 2019 Eric Steinberger
  
  
  import os.path as osp
  
  import setuptools
  
  with open("README.md", "r") as fh:
      long_description = fh.read()
  
  with open('%s/%s' % (osp.dirname(osp.realpath(__file__)), 'requirements.txt')) as f:
      requirements = [line.strip() for line in f]
  
  with open('%s/%s' % (osp.dirname(osp.realpath(__file__)), 'requirements_dist.txt')) as f:
      requirements_dist = [line.strip() for line in f]
  
  setuptools.setup(
      name="PokerRL",
      version="0.0.3",
      author="Eric Steinberger",
      author_email="[REDACTED_EMAIL]",
      description="A framework for Reinforcement Learning in Poker.",
      license='MIT',
      long_description=long_description,
      long_description_content_type="text/markdown",
      url="https://github.com/TinkeringCode/PokerRL",
      install_requires=requirements,
      extras_require={
          'distributed': requirements_dist,
      },
      include_package_data=True,
      classifiers=[
          "Programming Language :: Python :: 3",
          "Programming Language :: Python :: 3.6",
          "Programming Language :: Python :: 3.7",
          "License :: OSI Approved :: MIT License",
          "Intended Audience :: Developers",
          "Intended Audience :: Education",
          "Intended Audience :: Science/Research",
          "Operating System :: OS Independent",
      ],
      packages=setuptools.find_packages(),
  )
  