/
setup.py
37 lines (37 loc) · 1.41 KB
/
setup.py
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from distutils.core import setup
setup(
name='boltzmann-policy-distribution',
packages=[
'bpd',
'bpd.agents',
'bpd.envs',
'bpd.models',
],
package_data={'bpd': ['py.typed']},
version='0.0.6',
license='MIT',
description='Code for the ICLR 2022 paper "The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models"',
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
author='Cassidy Laidlaw',
author_email='cassidy_laidlaw@berkeley.edu',
url='https://github.com/cassidylaidlaw/boltzmann-policy-distribution',
download_url='https://github.com/cassidylaidlaw/boltzmann-policy-distribution/archive/TODO.tar.gz',
keywords=['human-robot interaction', 'machine learning', 'reinforcement learning'],
install_requires=[
'torch>=1.9.0',
'ray[rllib]>=1.11.0',
'matplotlib>=3.4.1',
'typing_extensions>=4',
],
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Image Recognition',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
],
)