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flatland-rl-optimised-code-3.0.16
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مشاهده بیشتر
تبلیغات ما
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تبلیغات ما
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مشاهده بیشترتوضیحات
Multi Agent Reinforcement Learning on Trains
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | flatland-rl-optimised-code-3.0.16 |
| نام | flatland-rl-optimised-code |
| نسخه کتابخانه | 3.0.16 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | S.P. Mohanty |
| ایمیل نویسنده | mohanty@aicrowd.com |
| آدرس صفحه اصلی | https://gitlab.aicrowd.com/flatland/flatland |
| آدرس اینترنتی | https://pypi.org/project/flatland-rl-optimised-code/ |
| مجوز | - |
🚂 Flatland
========
<p style="text-align:center">
<img alt="repository" src="https://gitlab.aicrowd.com/flatland/flatland/badges/master/pipeline.svg">
<img alt="coverage" src="https://gitlab.aicrowd.com/flatland/flatland/badges/master/coverage.svg">
</p>
Flatland is a open-source toolkit for developing and comparing Multi Agent Reinforcement Learning algorithms in little (or ridiculously large!) gridworlds.
[The official documentation](http://flatland.aicrowd.com/) contains full details about the environment and problem statement
Flatland is tested with Python 3.6, 3.7 and 3.8 on modern versions of macOS, Linux and Windows. You may encounter problems with graphical rendering if you use WSL. Your [contribution is welcome](https://flatland.aicrowd.com/misc/contributing.html) if you can help with this!
🏆 Challenges
---
This library was developed specifically for the AIcrowd [Flatland challenges](http://flatland.aicrowd.com/research/top-challenge-solutions.html) in which we strongly encourage you to take part in!
- [Flatland 3 Challenge](https://www.aicrowd.com/challenges/flatland-3) - ONGOING!
- [AMLD 2021 Challenge](https://www.aicrowd.com/challenges/flatland)
- [NeurIPS 2020 Challenge](https://www.aicrowd.com/challenges/neurips-2020-flatland-challenge/)
- [2019 Challenge](https://www.aicrowd.com/challenges/flatland-challenge)
📦 Setup
---
### Prerequisites (optional)
Install [Anaconda](https://www.anaconda.com/distribution/) and create a new conda environment:
```console
$ conda create python=3.7 --name flatland-rl
$ conda activate flatland-rl
```
### Stable release
Install Flatland from pip:
```console
$ pip install flatland-rl
```
This is the preferred method to install Flatland, as it will always install the most recent stable release.
### From sources
The Flatland code source is available from [AIcrowd gitlab](https://gitlab.aicrowd.com/flatland/flatland).
Clone the public repository:
```console
$ git clone git@gitlab.aicrowd.com:flatland/flatland.git
```
Once you have a copy of the source, install it with:
```console
$ pip install -e .
```
### Test installation
Test that the installation works:
```console
$ flatland-demo
```
You can also run the full test suite:
```console
python setup.py test
```
👥 Credits
---
This library was developed by [SBB](https://www.sbb.ch/en/), [Deutsche Bahn](https://www.deutschebahn.com/), [SNCF](https://www.sncf.com/en), [AIcrowd](https://www.aicrowd.com/) and [numerous contributors](http://flatland.aicrowd.com/misc/credits.html) and AIcrowd research fellows from the AIcrowd community.
➕ Contributions
---
Please follow the [Contribution Guidelines](https://flatland.aicrowd.com/misc/contributing.html) for more details on how you can successfully contribute to the project. We enthusiastically look forward to your contributions!
💬 Communication
---
* [Discord Channel](https://discord.com/invite/hCR3CZG)
* [Discussion Forum](https://discourse.aicrowd.com/c/neurips-2020-flatland-challenge)
* [Issue Tracker](https://gitlab.aicrowd.com/flatland/flatland/issues/)
🔗 Partners
---
<a href="https://sbb.ch" target="_blank" style="margin-right:30px"><img src="https://annpr2020.ch/wp-content/uploads/2020/06/SBB.png" alt="SBB" width="140"/></a>
<a href="https://www.deutschebahn.com/" target="_blank" style="margin-right:30px"><img src="https://i.imgur.com/pjTki15.png" alt="DB" width="140"/></a>
<a href="https://www.sncf.com/en" target="_blank" style="margin-right:30px"><img src="https://iconape.com/wp-content/png_logo_vector/logo-sncf.png" alt="SNCF" width="140"/></a>
<a href="https://www.aicrowd.com" target="_blank"><img src="https://i.imgur.com/kBZQGI9.png" alt="AIcrowd" width="140"/></a>
نیازمندی
| مقدار | نام |
|---|---|
| >=3.5.2 | tox |
| <5,>=3.8.2 | pytest |
| >=4.2 | pytest-runner |
| >=7.0 | Click |
| >=0.1.21 | crowdai-api |
| >=1.16.2 | numpy |
| >=1.3 | recordtype |
| >=3.0.2 | matplotlib |
| >=5.4.1 | Pillow |
| <2.0.0,>=1.0.0 | msgpack |
| >=0.4.4.0 | msgpack-numpy |
| >=0.3.1 | svgutils |
| >=0.13.0 | pyarrow |
| >=0.25.1 | pandas |
| >=0.17 | importlib-metadata |
| <2,>=1.0.1 | importlib-resources |
| >=1.12.0 | six |
| >=0.4.1 | timeout-decorator |
| - | attrs |
| ==0.14.0 | gym |
| - | networkx |
| - | ipycanvas |
| - | graphviz |
| - | imageio |
| - | dataclasses |
نحوه نصب
نصب پکیج whl flatland-rl-optimised-code-3.0.16:
pip install flatland-rl-optimised-code-3.0.16.whl
نصب پکیج tar.gz flatland-rl-optimised-code-3.0.16:
pip install flatland-rl-optimised-code-3.0.16.tar.gz