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Author:
Center for Human-Compatible AI and Google
License:
MIT
Summary:
Implementation of modern reward and imitation learning algorithms.
Latest version:
1.0.1
Required dependencies:
datasets
|
gymnasium
|
huggingface-sb3
|
matplotlib
|
numpy
|
optuna
|
rich
|
sacred
|
scikit-learn
|
seals
|
stable-baselines3
|
tensorboard
|
torch
|
tqdm
Optional dependencies:
autopep8
|
black
|
codecov
|
codespell
|
coverage
|
darglint
|
filelock
|
flake8
|
flake8-blind-except
|
flake8-builtins
|
flake8-commas
|
flake8-debugger
|
flake8-docstrings
|
flake8-isort
|
furo
|
gymnasium
|
hypothesis
|
ipdb
|
ipykernel
|
isort
|
jupyter
|
jupyter-client
|
moviepy
|
mypy
|
myst-nb
|
pandas
|
pre-commit
|
pytest
|
pytest-cov
|
pytest-notebook
|
pytest-timeout
|
pytest-xdist
|
pytype
|
ray
|
scipy
|
seals
|
setuptools-scm
|
sphinx
|
sphinx-autobuild
|
sphinx-autodoc-typehints
|
sphinx-copybutton
|
sphinx-github-changelog
|
sphinx-rtd-theme
|
sphinxcontrib-napoleon
|
wandb
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