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setup.py
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setup.py
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from setuptools import setup, find_packages
from codecs import open
from os import path
from metric_rl import __version__
here = path.abspath(path.dirname(__file__))
requires_list = []
with open(path.join(here, 'requirements.txt'), encoding='utf-8') as f:
for line in f:
requires_list.append(str(line))
long_description = 'Metric RL Meta is a Python Reinforcement Learning package' \
' that implements the algorithms described in the paper:'\
' \"Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts\",' \
' Riad Akrour, Davide Tateo, Jan Peters (2021).'
setup(
name='metric-rl',
version=__version__,
description='A Python library for Interpretable RL.',
long_description=long_description,
author="Riad Akrour, Davide Tateo",
author_email='davide@robot-learning.de',
url='https://github.com/akrouriad/metricrl',
license='MIT',
packages=[package for package in find_packages()
if package.startswith('metric_rl')],
zip_safe=False,
install_requires=requires_list,
classifiers=["Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
)