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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
PyTorch Agent Net: reinforcement learning toolkit for pytorch
| Date | Stars |
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| 2026-07-31 | 555 |
| 2026-08-03 | 555 |
| 2026-08-04 | 555 |
| 2026-08-06 | 555 |
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# PTAN PTAN stands for PyTorch AgentNet -- reimplementation of [AgentNet](https://github.com/yandexdataschool/AgentNet) library for [PyTorch](http://pytorch.org/) This library was used in ["Deep Reinforcement Learning Hands-On"](https://www.packtpub.com/data/deep-reinforcement-learning-hands-on-second-edition) book, here you can find [sample sources](https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On). ## Code branches The repository is maintained to keep dependency versions up-to-date. This requires efforts and time to test all the examples on new versions, so, be patient. The logic is following: there are several branches of the code, corresponding to major pytorch version code was tested. Due to incompatibilities in pytorch and other components, **code in the printed book might differ from the code in the repo**. At the moment, there are the following branches available: * `master`: contains the code with the latest pytorch which was tested. At the moment, it is pytorch 1.7. * `torch-1.3-book-ed2`: code printed in the book (second edition) with minor bug fixes. Uses pytorch=1.3 which is available only on conda repos. * `torch-1.7`: pytorch 1.7. Merged with master. All the branches uses python 3.7, more recent versions weren't tested. ## Installation From sources: ```bash python setup.py install ``` From pypi: ```bash pip install ptan ``` From github: ```bash pip install pip install git+https://github.com/Shmuma/ptan.git ``` ## Requirements * [PyTorch](http://pytorch.org/): version 1.1.0 is required * [PyTorch Ignite](https://pytorch.org/ignite/): provides extra bindings for ignite * [OpenAI Gym](https://gym.openai.com/): ```pip install gym gym[atari]``` * [Python OpenCV](https://pypi.org/project/opencv-python/): ```pip install opencv-python``` * [TensorBoardX](https://github.com/lanpa/tensorboardX): ```pip install tensorboardX``` ### Note for [Anaconda Python](https://anaconda.org/anaconda/python) users To run some of the samples, you will need these modules: ```bash conda install pytorch torchvision -c pytorch pip install tensorboard-pytorch pip install gym pip install gym[atari] pip install opencv-python ``` ## Documentation * [Ptan introduction](docs/intro.ipynb) Random pieces of information * `ExperienceSource` vs `ExperienceSourceFirstLast`: https://github.com/Shmuma/ptan/issues/17#issuecomment-489584115
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Max Lapan · Exasol · Germany
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:83e052bcb4695164, desc:reinforcement learning