Add publish workflow, first preparation for next release (#1067)

.github/workflows/publish.yaml

@@ -0,0 +1,30 @@
+name: Upload Python Package
+
+on:
+  release:
+    types: [created]
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python
+        uses: actions/setup-python@v1
+        with:
+          python-version: 3.11
+      # use poetry and cache installed packages, see https://github.com/marketplace/actions/python-poetry-action
+      - name: Install poetry
+        uses: abatilo/actions-poetry@v2
+      - name: Setup a local virtual environment (if no poetry.toml file)
+        run: |
+          poetry config virtualenvs.create true --local
+          poetry config virtualenvs.in-project true --local
+      - name: Build and publish
+        env:
+          PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
+        run: |
+          if [ -z "${PYPI_TOKEN}" ]; then echo "Set the PYPI_TOKEN variable in your repository secrets"; exit 1; fi  
+          poetry config pypi-token.pypi $PYPI_TOKEN
+          poetry config repositories.pypi https://pypi.org/legacy
+          poetry publish --build --repository pypi

README.md

@@ -6,21 +6,21 @@
 
 [![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/master) [![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/master/) [![Unittest](https://github.com/thu-ml/tianshou/actions/workflows/pytest.yml/badge.svg)](https://github.com/thu-ml/tianshou/actions) [![codecov](https://img.shields.io/codecov/c/gh/thu-ml/tianshou)](https://codecov.io/gh/thu-ml/tianshou) [![GitHub issues](https://img.shields.io/github/issues/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/issues) [![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 license](https://img.shields.io/github/license/thu-ml/tianshou)](https://github.com/thu-ml/tianshou/blob/master/LICENSE)
 
-> ⚠️️ **Dropped support for Gym**:
-> Tianshou no longer supports Gym, and we recommend that you transition to 
-> [Gymnasium](http://github.com/Farama-Foundation/Gymnasium).
-> If you absolutely have to use Gym, you can try using [Shimmy](https://github.com/Farama-Foundation/Shimmy) 
-> (the compatibility layer), but Tianshou provides no guarantees that things will work then.
 
 > ⚠️️ **Current Status**: the Tianshou master branch is currently under heavy development,
 > moving towards more features, improved interfaces, more documentation. 
 You can view the relevant issues in the corresponding 
 > [milestone](https://github.com/thu-ml/tianshou/milestone/1)
-> Stay tuned! (and expect breaking changes until the release is done)
+> Stay tuned! (and expect breaking changes until the next major release)
 
-**Tianshou** ([天授](https://baike.baidu.com/item/%E5%A4%A9%E6%8E%88)) is a reinforcement learning platform based on pure PyTorch. Unlike other reinforcement learning libraries, which are partly based on TensorFlow, have unfriendly APIs ot are not optimized for speed, Tianshou provides a high-performance, modularized framework and user-friendly APIs for building deep reinforcement learning agents, enabling concise implementations without sacrificing flexibility. 
+**Tianshou** ([天授](https://baike.baidu.com/item/%E5%A4%A9%E6%8E%88)) is a reinforcement learning platform based on pure PyTorch and [Gymnasium](http://github.com/Farama-Foundation/Gymnasium). Unlike other reinforcement learning libraries, which may have complex codebases,
+unfriendly high-level APIs, or are not optimized for speed, Tianshou provides a high-performance, modularized framework 
+and user-friendly interfaces for building deep reinforcement learning agents. One more aspect that sets Tianshou apart is its
+generality: it supports online and offline RL, multi-agent RL, and model-based algorithms.
 
-The set of supported algorithms includes the following:
+Tianshou aims at enabling concise implementations, both for researchers and practitioners, without sacrificing flexibility. 
+
+Supported algorithms include:
 
 - [Deep Q-Network (DQN)](https://storage.googleapis.com/deepmind-media/dqn/DQNNaturePaper.pdf)
 - [Double DQN](https://arxiv.org/pdf/1509.06461.pdf)

docs/04_contributing/05_contributors.rst

@@ -0,0 +1,28 @@
+Contributors
+============
+
+We always welcome contributions to help make Tianshou better!
+Tiashou was originally created by the `THU-ML Group <https://ml.cs.tsinghua.edu.cn>`_ at Tsinghua University.
+
+Today, it is backed by the `appliedAI Institute for Europe <https://www.appliedai-institute.de/en/>`_,
+which is committed to making Tianshou the go-to resource for reinforcement learning research and development,
+and guaranteeing its long-term maintenance and support.
+
+The original creator Jiayi Weng (`Trinkle23897 <https://github.com/Trinkle23897>`_) continues
+to be a key contributor to the project.
+
+The current tianshou maintainers from the appliedAI Institute for Europe are:
+
+* Michael Panchenko (`MischaPanch <https://github.com/MischaPanch>`_)
+* Dominik Jain (`opcode81 <https://github.com/opcode81>`_)
+
+
+An incomplete list of the early contributors is:
+
+* Alexis Duburcq (`duburcqa <https://github.com/duburcqa>`_)
+* Kaichao You (`youkaichao <https://github.com/youkaichao>`_)
+* Huayu Chen (`ChenDRAG <https://github.com/ChenDRAG>`_)
+* Yi Su (`nuance1979 <https://github.com/nuance1979>`_)
+
+
+You can find more information about contributors `here <https://github.com/thu-ml/tianshou/graphs/contributors>`_.

docs/spelling_wordlist.txt

@@ -249,3 +249,7 @@ dicts
 pytorch
 tensordict
 onwards
+Dominik
+Tsinghua
+Tianshou
+appliedAI

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "tianshou"
-version = "0.5.1"
+version = "1.0.0"
 description = "A Library for Deep Reinforcement Learning"
 authors = ["TSAIL <trinkle23897@gmail.com>"]
 license = "MIT"