hongshaorou/Tianshou
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Update Anaconda support (#228)

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conda install -c conda-forge tianshou
Related PR: conda-forge/staged-recipes#12719
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27
README.md
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@ -5,6 +5,7 @@
--- ---
[![PyPI](https://img.shields.io/pypi/v/tianshou)](https://pypi.org/project/tianshou/) [![PyPI](https://img.shields.io/pypi/v/tianshou)](https://pypi.org/project/tianshou/)
[![Conda](https://img.shields.io/conda/vn/conda-forge/tianshou)](https://github.com/conda-forge/tianshou-feedstock)
[![Read the Docs](https://img.shields.io/readthedocs/tianshou)](https://tianshou.readthedocs.io/en/latest) [![Read the Docs](https://img.shields.io/readthedocs/tianshou)](https://tianshou.readthedocs.io/en/latest)
[![Read the Docs](https://img.shields.io/readthedocs/tianshou-docs-zh-cn?label=%E4%B8%AD%E6%96%87%E6%96%87%E6%A1%A3)](https://tianshou.readthedocs.io/zh/latest/) [![Read the Docs](https://img.shields.io/readthedocs/tianshou-docs-zh-cn?label=%E4%B8%AD%E6%96%87%E6%96%87%E6%A1%A3)](https://tianshou.readthedocs.io/zh/latest/)
[![Unittest](https://github.com/thu-ml/tianshou/workflows/Unittest/badge.svg?branch=master)](https://github.com/thu-ml/tianshou/actions) [![Unittest](https://github.com/thu-ml/tianshou/workflows/Unittest/badge.svg?branch=master)](https://github.com/thu-ml/tianshou/actions)
@ -13,7 +14,7 @@
[![GitHub stars](https://img.shields.io/github/stars/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/stargazers) [![GitHub stars](https://img.shields.io/github/stars/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/network) [![GitHub forks](https://img.shields.io/github/forks/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/network)
[![GitHub license](https://img.shields.io/github/license/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/blob/master/LICENSE) [![GitHub license](https://img.shields.io/github/license/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/blob/master/LICENSE)
[![Join the chat at https://gitter.im/thu-ml/tianshou](https://badges.gitter.im/thu-ml/tianshou.svg)](https://gitter.im/thu-ml/tianshou?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![Gitter](https://badges.gitter.im/thu-ml/tianshou.svg)](https://gitter.im/thu-ml/tianshou?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
**Tianshou** ([天授](https://baike.baidu.com/item/%E5%A4%A9%E6%8E%88)) is a reinforcement learning platform based on pure PyTorch. Unlike existing reinforcement learning libraries, which are mainly based on TensorFlow, have many nested classes, unfriendly API, or slow-speed, Tianshou provides a fast-speed modularized framework and pythonic API for building the deep reinforcement learning agent with the least number of lines of code. The supported interface algorithms currently include: **Tianshou** ([天授](https://baike.baidu.com/item/%E5%A4%A9%E6%8E%88)) is a reinforcement learning platform based on pure PyTorch. Unlike existing reinforcement learning libraries, which are mainly based on TensorFlow, have many nested classes, unfriendly API, or slow-speed, Tianshou provides a fast-speed modularized framework and pythonic API for building the deep reinforcement learning agent with the least number of lines of code. The supported interface algorithms currently include:
@ -50,28 +51,24 @@ In Chinese, Tianshou means divinely ordained and is derived to the gift of being
## Installation ## Installation
Tianshou is currently hosted on [PyPI](https://pypi.org/project/tianshou/). It requires Python >= 3.6. You can simply install Tianshou with the following command: Tianshou is currently hosted on [PyPI](https://pypi.org/project/tianshou/) and [conda-forge](https://github.com/conda-forge/tianshou-feedstock). It requires Python >= 3.6.
You can simply install Tianshou from PyPI with the following command:
```bash ```bash
$ pip install tianshou $ pip install tianshou
``` ```
If you use Anaconda or Miniconda, you can install Tianshou from conda-forge through the following command:
```bash
$ conda -c conda-forge install tianshou
```
You can also install with the newest version through GitHub: You can also install with the newest version through GitHub:
```bash ```bash
# latest version $ pip install git+https://github.com/thu-ml/tianshou.git@master --upgrade
$ pip install git+https://github.com/thu-ml/tianshou.git@master
```
If you use Anaconda or Miniconda, you can install Tianshou through the following command lines:
```bash
# create a new virtualenv and install pip, change the env name if you like
$ conda create -n myenv pip
# activate the environment
$ conda activate myenv
# install tianshou
$ pip install tianshou
``` ```
After installation, open your python console and type After installation, open your python console and type

24
docs/index.rst
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@ -41,29 +41,25 @@ Here is Tianshou's other features:
Installation Installation
------------ ------------
Tianshou is currently hosted on `PyPI <https://pypi.org/project/tianshou/>`_. You can simply install Tianshou with the following command (with Python >= 3.6): Tianshou is currently hosted on `PyPI <https://pypi.org/project/tianshou/>`_ and `conda-forge <https://github.com/conda-forge/tianshou-feedstock>`_. It requires Python >= 3.6.
You can simply install Tianshou from PyPI with the following command:
.. code-block:: bash .. code-block:: bash
$ pip install tianshou $ pip install tianshou
If you use Anaconda or Miniconda, you can install Tianshou from conda-forge through the following command:
.. code-block:: bash
$ conda -c conda-forge install tianshou
You can also install with the newest version through GitHub: You can also install with the newest version through GitHub:
.. code-block:: bash .. code-block:: bash
# latest version $ pip install git+https://github.com/thu-ml/tianshou.git@master --upgrade
$ pip install git+https://github.com/thu-ml/tianshou.git@master
If you use Anaconda or Miniconda, you can install Tianshou through the following command lines:
.. code-block:: bash
# create a new virtualenv and install pip, change the env name if you like
$ conda create -n myenv pip
# activate the environment
$ conda activate myenv
# install tianshou
$ pip install tianshou
After installation, open your python console and type After installation, open your python console and type
:: ::