Reinforcement Learning for Agriculture
Project description
FarmWorld
A reinforcement learning library for agriculture.
HOWTO
pip install farmworld
Install from source
make venv
make install
Build/Publish
Put a new release on Github
poetry build
poetry publish
Test
PYTHONPATH=. python test/test_env.py
Current Status
DQN basically solves it after 100k steps.
- Normalized the easy way using vecnormalize.
- Added a zeroth action and trimmed the action space a bit
TODO
- complicate the problem! multiple crops, and they need to start dieing off at some point
make env realistic -- add different plants
fix planting density
add different plants which have different maturities, weather needs etc.
plus weather forecast, soil quality(split into attributes)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
farmworld-0.0.3.tar.gz
(7.8 kB
view details)
Built Distribution
File details
Details for the file farmworld-0.0.3.tar.gz
.
File metadata
- Download URL: farmworld-0.0.3.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.2 CPython/3.8.10 Linux/5.15.74.2-microsoft-standard-WSL2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f73717e533904203ee47f6359c13d1f8f42d677b2ce3230c3151101fe4572cc9 |
|
MD5 | 3ed600b27a15613bbacabc9dbb09452c |
|
BLAKE2b-256 | 59a1d2f4a79d8bd71871f805beccc4e25c879213c24cf2936c732134717f02c6 |
File details
Details for the file farmworld-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: farmworld-0.0.3-py3-none-any.whl
- Upload date:
- Size: 8.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.2 CPython/3.8.10 Linux/5.15.74.2-microsoft-standard-WSL2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4e5eaf8b76989d8e232121143d3a3f4ddd1641faca65aa47dbfe351c8b75b559 |
|
MD5 | f0d2dda33ca6385bc5fadfb4bc6d0be7 |
|
BLAKE2b-256 | 0fe061a3000a45980698b367284c3d43bab31dc1d4c53a17ed6f58cfaf72e60b |