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balloon-learning-environment-1.0.1
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-
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | balloon-learning-environment-1.0.1 |
| نام | balloon-learning-environment |
| نسخه کتابخانه | 1.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/balloon-learning-environment/ |
| مجوز | - |
# Balloon Learning Environment
[Docs][docs]
<div align="center">
<img src="https://github.com/google/balloon-learning-environment/blob/master/docs/imgs/ble_logo_small.png?raw=True"
height="200px">
<br><br>
</div>
The Balloon Learning Environment (BLE) is a simulator for stratospheric
balloons. It is designed as a benchmark environment for deep reinforcement
learning algorithms, and is a followup to the Nature paper
["Autonomous navigation of stratospheric balloons using reinforcement learning"](https://www.nature.com/articles/s41586-020-2939-8).
## Getting Started
Note: The BLE requires python >= 3.7
The BLE can easily be installed with pip:
```
$ pip install --upgrade pip
$ pip install balloon_learning_environment
```
To install with the `acme` package:
```
$ pip install --upgrade pip
$ pip install balloon_learning_environment[acme]
```
Once the package has been installed, you can test it runs correctly by
evaluating one of the benchmark agents:
```
python -m balloon_learning_environment.eval.eval \
--agent=station_seeker \
--renderer=matplotlib \
--suite=micro_eval \
--output_dir=/tmp/ble/eval
```
To install from GitHub directly, run the following commands from the root
directory where you cloned the repository:
```
$ pip install --upgrade pip
$ pip install .[acme]
```
## Ensure the BLE is Using Your GPU/TPU
The BLE contains a VAE for generating winds, which you will probably want
to run on your accelerator. See the jax documentation for installing with
[GPU](https://github.com/google/jax#pip-installation-gpu-cuda) or
[TPU](https://github.com/google/jax#pip-installation-google-cloud-tpu).
As a sanity check, you can open interactive python and run:
```
from balloon_learning_environment.env import balloon_env
env = balloon_env.BalloonEnv()
```
If you are not running with GPU/TPU, you should see a log like:
```
WARNING:absl:No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)
```
If you don't see this log, you should be good to go!
## Next Steps
For more information, see the [docs][docs].
## Giving credit
If you use the Balloon Learning Environment in your work, we ask that you use
the following BibTeX entry:
```
@software{Greaves_Balloon_Learning_Environment_2021,
author = {Greaves, Joshua and Candido, Salvatore and Dumoulin, Vincent and Goroshin, Ross and Ponda, Sameera S. and Bellemare, Marc G. and Castro, Pablo Samuel},
month = {12},
title = {{Balloon Learning Environment}},
url = {https://github.com/google/balloon-learning-environment},
version = {1.0.0},
year = {2021}
}
```
If you use the `ble_wind_field` dataset, you should also cite
```
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A.,
Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G.,
Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M.,
Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L.,
Healy, S., Hogan, R.J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P.,
Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F.,
Villaume, S., Thépaut, J-N. (2017): Complete ERA5: Fifth generation of ECMWF
atmospheric reanalyses of the global climate. Copernicus Climate Change Service
(C3S) Data Store (CDS). (Accessed on 01-04-2021)
```
[docs]: https://balloon-learning-environment.readthedocs.io/en/latest/
نیازمندی
| مقدار | نام |
|---|---|
| - | absl-py |
| >=4.0.0 | dopamine-rl |
| - | flax |
| - | gin-config |
| - | gym |
| >=0.2.28 | jax |
| >=0.1.76 | jaxlib |
| <=0.3.0 | opensimplex |
| - | s2sphere |
| - | scikit-learn |
| - | tensorflow |
| - | tensorflow-probability |
| - | transitions |
| - | dm-acme |
| - | dm-haiku |
| - | dm-reverb |
| - | dm-sonnet |
| - | rlax |
| - | xmanager |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl balloon-learning-environment-1.0.1:
pip install balloon-learning-environment-1.0.1.whl
نصب پکیج tar.gz balloon-learning-environment-1.0.1:
pip install balloon-learning-environment-1.0.1.tar.gz