| 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", |
| "gym==0.21.0", |
| "gymnasium", |
| "cython<3", |
| "logaut", |
| "pythomata", |
| "pickle5", |
| ], |
| 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", |
| |
| classifiers=[ |
| "Programming Language :: Python :: 3.7", |
| "Programming Language :: Python :: 3.8", |
| ], |
| ) |
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