| Name | flatland-rl JSON |
| Version |
4.2.1
JSON |
| download |
| home_page | None |
| Summary | Multi Agent Reinforcement Learning on Trains |
| upload_time | 2025-09-03 12:54:55 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License
Copyright (c) 2019 SBB AG
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
|
| keywords |
flatland
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
annotated-types
asttokens
attrs
boto3
botocore
certifi
charset-normalizer
click
comm
contourpy
crowdai-api
cycler
decorator
entrypoint
executing
fastenum
fonttools
idna
importlib-resources
ipycanvas
ipyevents
ipython
ipywidgets
jedi
jmespath
jupyterlab-widgets
kiwisolver
lxml
matplotlib
matplotlib-inline
msgpack
msgpack-numpy
named
networkx
numpy
orderings
packaging
pandas
parso
pexpect
pillow
prompt-toolkit
ptyprocess
pure-eval
pydantic
pydantic-core
pyglet
pygments
pyparsing
python-dateutil
python-gitlab
pytz
pyyaml
recordtype
redis
requests
requests-toolbelt
s3transfer
six
solus
stack-data
svgutils
timeout-decorator
tqdm
traitlets
typing-aliases
typing-extensions
typing-inspection
tzdata
urllib3
versions
wcwidth
widgetsnbextension
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
🚂 Flatland
========
[](https://github.com/flatland-association/flatland-rl/actions/workflows/main.yml)
Flatland is an open-source toolkit for developing and comparing Multi-Agent Reinforcement Learning algorithms in little
(or ridiculously large!) gridworlds.
[The official documentation](https://flatland-association.github.io/flatland-book/intro.html) contains full details about the environment and problem
statement.
Flatland is tested with Python 3.10, 3.11, 3.12 and 3.13 on modern versions of macOS, Linux and Windows. You may encounter
problems with graphical rendering if you use WSL.
🏆 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)
- [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
---
### Setup virtual environment
Set up a virtual environment using your preferred method (we suggest the built-in `venv`) and activate it.
You can use your IDE to do this or by using the command line:
```shell
python -m venv .venv
source .venv/bin/activate
```
### Stable release
Install Flatland using pip:
```shell
python -m pip install flatland-rl
```
This is the preferred method to install Flatland, as it will always install the most recent stable release.
👥 Credits
---
This library was initially 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](https://flatland-association.github.io/flatland-book/misc/credits.html) from the
flatland community. It is now developed by the [Flatland Association](https://flatland-association.org) and the [Flatland Community](https://flatland.cloud).
➕ Contributions
---
Please follow the [Contribution Guidelines](./CONTRIBUTING.md) for more details on how you can successfully contribute
to the project. We enthusiastically look forward to your contributions!
💬 Communication
---
* [Issue Tracker](https://github.com/flatland-association/flatland-rl/issues/)
🔗 Partners
---
<a href="https://sbb.ch" target="_blank" style="margin-right:30px"><img src="https://flatland-association.org/members/sbb-cff-ffs-logo.svg" alt="SBB" height="60"/></a>
<a href="https://www.deutschebahn.com/" target="_blank" style="margin-right:30px"><img src="https://i.imgur.com/pjTki15.png" alt="DB" height="60"/></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" height="60"/></a>
<a href="https://www.aicrowd.com" target="_blank"><img src="https://i.imgur.com/kBZQGI9.png" alt="AIcrowd" height="60"/></a>
<a href="https://flatland.cloud" target="_blank"><img src="https://flatland-association.org/members/flatland-community-logo.svg" alt="Flatland Community" height="60"/></a>
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