Metadata-Version: 2.4
Name: morl4water
Version: 0.1.6
Summary: Multi-Objective Reinforcement Learning environments of water management problems
Author-email: Zuzanna Osika <z.osika@tudelft.nl>
License: MIT
Project-URL: Homepage, https://osikazuzanna.github.io/morl4water
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: mo-gymnasium==1.1.0
Requires-Dist: gymnasium
Requires-Dist: h5py
Requires-Dist: opencv-python==4.8.0.76
Requires-Dist: numpy==1.26.4
Requires-Dist: dill==0.3.5.1
Requires-Dist: pymoo==0.6.1.1
Requires-Dist: pytest==7.4.0
Requires-Dist: numba
Dynamic: license-file

# RL4Water
<!-- start main body -->
<!-- Repository with a mondular gym environment, which lets you build a multi-objective water simulations to train you MORL agents on. -->
Welcome to morl4water, a flexible gym environment designed for simulating water management in river systems. With morl4water, 
you can build detailed water simulations and train or test your multi-objective reinforcement learning (MORL) agents in these settings. 
Full documentation is available at: [https://osikazuzanna.github.io/morl4water/](https://osikazuzanna.github.io/morl4water/)

