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Antonin RAFFIN
GitHub
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5 changed files with 33 additions and 49 deletions
10
CITATION.bib
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CITATION.bib
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@article{stable-baselines3,
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author = {Antonin Raffin and Ashley Hill and Adam Gleave and Anssi Kanervisto and Maximilian Ernestus and Noah Dormann},
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title = {Stable-Baselines3: Reliable Reinforcement Learning Implementations},
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journal = {Journal of Machine Learning Research},
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year = {2021},
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volume = {22},
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number = {268},
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pages = {1-8},
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url = {http://jmlr.org/papers/v22/20-1364.html}
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}
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CITATION.cff
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CITATION.cff
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cff-version: 1.2.0
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message: "If you use this software, please cite it as below."
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authors:
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-
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family-names: Raffin
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given-names: Antonin
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orcid: "https://orcid.org/0000-0001-6036-6950"
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family-names: Hill
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given-names: Ashley
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family-names: Enerstus
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given-names: Maximilian
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family-names: Gleave
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given-names: Adam
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orcid: "https://orcid.org/0000-0002-3467-528X"
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family-names: Kanervisto
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given-names: Anssi
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orcid: "https://orcid.org/0000-0002-7479-4574"
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family-names: Dormann
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given-names: Noah
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title: "Stable Baselines3"
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abbreviation: SB3
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url: "https://github.com/DLR-RM/stable-baselines3"
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repository-code: "https://github.com/DLR-RM/stable-baselines3"
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version: 1.1.0
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date-released: 2020-05-05
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license: MIT
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# doi: # TODO when paper is released
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18
README.md
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README.md
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Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of [Stable Baselines](https://github.com/hill-a/stable-baselines).
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You can read a detailed presentation of Stable Baselines3 in the [v1.0 blog post](https://araffin.github.io/post/sb3/).
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You can read a detailed presentation of Stable Baselines3 in the [v1.0 blog post](https://araffin.github.io/post/sb3/) or our [JMLR paper](https://jmlr.org/papers/volume22/20-1364/20-1364.pdf).
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These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new approach against existing ones. We also hope that the simplicity of these tools will allow beginners to experiment with a more advanced toolset, without being buried in implementation details.
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@ -210,13 +210,15 @@ please tell us when if you want your project to appear on this page ;)
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To cite this repository in publications:
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```bibtex
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@misc{stable-baselines3,
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author = {Raffin, Antonin and Hill, Ashley and Ernestus, Maximilian and Gleave, Adam and Kanervisto, Anssi and Dormann, Noah},
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title = {Stable Baselines3},
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year = {2019},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/DLR-RM/stable-baselines3}},
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@article{stable-baselines3,
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author = {Antonin Raffin and Ashley Hill and Adam Gleave and Anssi Kanervisto and Maximilian Ernestus and Noah Dormann},
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title = {Stable-Baselines3: Reliable Reinforcement Learning Implementations},
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journal = {Journal of Machine Learning Research},
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year = {2021},
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volume = {22},
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number = {268},
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pages = {1-8},
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url = {http://jmlr.org/papers/v22/20-1364.html}
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}
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```
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@ -12,6 +12,8 @@ It is the next major version of `Stable Baselines <https://github.com/hill-a/sta
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Github repository: https://github.com/DLR-RM/stable-baselines3
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Paper: https://jmlr.org/papers/volume22/20-1364/20-1364.pdf
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RL Baselines3 Zoo (training framework for SB3): https://github.com/DLR-RM/rl-baselines3-zoo
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RL Baselines3 Zoo provides a collection of pre-trained agents, scripts for training, evaluating agents, tuning hyperparameters, plotting results and recording videos.
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@ -98,14 +100,16 @@ To cite this project in publications:
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.. code-block:: bibtex
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@misc{stable-baselines3,
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author = {Raffin, Antonin and Hill, Ashley and Ernestus, Maximilian and Gleave, Adam and Kanervisto, Anssi and Dormann, Noah},
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title = {Stable Baselines3},
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year = {2019},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/DLR-RM/stable-baselines3}},
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}
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@article{stable-baselines3,
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author = {Antonin Raffin and Ashley Hill and Adam Gleave and Anssi Kanervisto and Maximilian Ernestus and Noah Dormann},
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title = {Stable-Baselines3: Reliable Reinforcement Learning Implementations},
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journal = {Journal of Machine Learning Research},
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year = {2021},
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volume = {22},
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number = {268},
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pages = {1-8},
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url = {http://jmlr.org/papers/v22/20-1364.html}
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}
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Contributing
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------------
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@ -37,6 +37,7 @@ Documentation:
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- Fix indentation in the RL tips page (@cove9988)
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- Update GAE computation docstring
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- Add documentation on exporting to TFLite/Coral
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- Added JMLR paper and updated citation
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Release 1.3.0 (2021-10-23)
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