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IRLwPytorch -> IRLwPython
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README.md

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# IRLwPytorch
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Inverse Reinforcement Learning Algorithm implementation with Pytorch.
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# IRLwPython
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Inverse Reinforcement Learning Algorithm implementation with python.
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The implementation is based on: https://github.com/reinforcement-learning-kr/lets-do-irl
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# Installation
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```commandline
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cd IRLwPytorch
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cd IRLwPython
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pip install .
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```
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setup.cfg

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# https://setuptools.pypa.io/en/latest/references/keywords.html
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[metadata]
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name = IRLwPytorch
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name = IRLwPython
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description = Add a short description here!
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author = HokageM
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author_email = [email protected]
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[options.extras_require]
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# Add here additional requirements for extra features, to install with:
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# `pip install IRLwPytorch[PDF]` like:
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# `pip install IRLwPython[PDF]` like:
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# PDF = ReportLab; RXP
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# Add here test requirements (semicolon/line-separated)
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[options.entry_points]
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# Add here console scripts like:
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# console_scripts =
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# script_name = irlwpytorch.module:function
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# script_name = irlwpython.module:function
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# For example:
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console_scripts =
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irl = irlwpytorch.main:run
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irl = irlwpython.main:run
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# And any other entry points, for example:
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# pyscaffold.cli =
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# awesome = pyscaffoldext.awesome.extension:AwesomeExtension
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# CAUTION: --cov flags may prohibit setting breakpoints while debugging.
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# Comment those flags to avoid this pytest issue.
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addopts =
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--cov irlwpytorch --cov-report term-missing
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--cov irlwpython --cov-report term-missing
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--verbose
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norecursedirs =
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dist
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# PyScaffold's parameters when the project was created.
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# This will be used when updating. Do not change!
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version = 4.5
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package = irlwpytorch
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package = irlwpython

setup.py

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"""
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Setup file for IRLwPytorch.
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Setup file for IRLwPython.
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Use setup.cfg to configure your project.
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This file was generated with PyScaffold 4.5.
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File renamed without changes.

src/irlwpytorch/__init__.py renamed to src/irlwpython/__init__.py

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try:
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# Change here if project is renamed and does not equal the package name
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dist_name = "IRLwPytorch"
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dist_name = "IRLwPython"
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__version__ = version(dist_name)
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except PackageNotFoundError: # pragma: no cover
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__version__ = "unknown"

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