Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football"

Data Release for Article: From Motor Control to Team Play in Simulated Humanoid Football

This package releases a set of Python notebooks each reproducing a quantitative
figure featured in the research article "From Motor Control to Team Play in
Simulated Humanoid Football".

Usage

The set of notebooks can be uploaded to and executed using the
Colab runtime service.

Alternatively, these notebook files can be executed using a
Jupyter local runtime with the following commands using
virtualenv.

cd dm_soccer
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
pip install notebook
jupyter notebook

Dependencies

All Python notebooks are tested against Python 3.7 as well as the versioned
dependencies specified in requirements.txt. All dependencies are satisfied by
Colab as of August 2022 and can be
installed locally with pip install -r requirements.txt if using a Jupyter
local runtime.

License and disclaimer

Copyright 2022 DeepMind Technologies Limited

All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you
may not use this file except in compliance with the Apache 2.0 license. You may
obtain a copy of the Apache 2.0 license at:
https://www.apache.org/licenses/LICENSE-2.0

All other materials are licensed under the Creative Commons Attribution 4.0
International License (CC-BY). You may obtain a copy of the CC-BY license at:
https://creativecommons.org/licenses/by/4.0/legalcode

Unless required by applicable law or agreed to in writing, all software and
materials distributed here under the Apache 2.0 or CC-BY licenses are
distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
either express or implied. See the licenses for the specific language governing
permissions and limitations under those licenses.

This is not an official Google product.

学术论文配套数据发布：《仿真人形足球场景下从运动控制到团队协作》(From Motor Control to Team Play in Simulated Humanoid Football)

本数据包内含一组Python代码笔记本，每一份均可复现前述研究论文中的一张定量可视化图表。

使用方法
该组代码笔记本可上传至Colab运行时服务并执行。

此外，也可通过以下命令，借助virtualenv在本地Jupyter运行环境中运行此类笔记本文件：
cd dm_soccer
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
pip install notebook
jupyter notebook

依赖项
所有Python代码笔记本均已在Python 3.7环境以及requirements.txt中指定的带版本号的依赖项下完成测试。截至2022年8月，Colab运行环境已满足全部依赖项要求；若使用本地Jupyter运行环境，则可通过`pip install -r requirements.txt`命令完成本地依赖安装。

许可协议与免责声明
版权所有 © 2022 DeepMind科技有限公司（DeepMind Technologies Limited）

所有软件均采用Apache许可证2.0版（Apache 2.0）进行许可；除非符合Apache 2.0许可证条款，否则您不得使用本文件。您可通过以下链接获取Apache 2.0许可证副本：https://www.apache.org/licenses/LICENSE-2.0

其余所有材料均采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International License，CC-BY）进行许可。您可通过以下链接获取CC-BY许可证副本：https://creativecommons.org/licenses/by/4.0/legalcode

除非适用法律要求或书面约定，否则根据Apache 2.0或CC-BY许可分发的所有软件与材料均按"AS IS"基础提供，不附带任何明示或暗示的担保或条件。有关此类许可下的具体权限与限制范围，请参阅对应许可协议条款。

本项目并非Google官方出品。