AdaptiveRewardRL / data /setup.py
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from setuptools import find_packages, setup
VERSION = "0.0.1"
DESCRIPTION = "Use Partial Satisfiability to tarin RL agent more efficiently guaranteeing that partial satisfaction for a given specification"
LONG_DESCRIPTION = """
We give a partial credit for each completion on automaton graph, and propose a logic based reward shaping based on
a given automaton graph structure guaranteeing that we can achieve partial satisfiability
"""
setup(
name="psltl",
packages=find_packages(),
package_data={"psltl": ["py.typed", "version.txt"]},
version=VERSION,
install_requires=[
"stable-baselines3==1.7.0", # must be 1.7.0 version of stable baselines!, but because of qrm..crm...
"gym==0.21.0",
"gymnasium",
"cython<3",
"logaut",
"pythomata",
"pickle5", # for save files, and load files
],
description="Adaptive Reward Design for Reinforcement Learning in Complex Robotic Tasks",
keywords="Adaptive Reward Design for Reinforcement Learning in Complex Robotic Tasks",
license="MIT",
long_description=LONG_DESCRIPTION,
long_description_content_type="text/markdown",
python_requires=">=3.6", # because of baseline
# PyPI package information.
classifiers=[
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
],
)
# python setup.py sdist bdist_wheel
# twine upload --repository-url https://test.pypi.org/legacy/ dist/*
# twine upload dist/*