simple-es VS GeneticAlgorithmPython

There have been many studies that combine RL and ES(evolutionary strategies), and combining these methods and multi-agent reinforcement learning is my current interest. As a one who has only studied RL and has no knowledge of ES, I have created a multi-agent evolutionary strategies project using pytorch, simple-es.

Docs: https://pygad.readthedocs.io

Depending on how complex you want this system, you could look at how live stock breeding is modelled. For example https://github.com/ahmedfgad/GeneticAlgorithmPython

PyGAD is

My pleasure! I'm assuming you're working in Python, so this repo looks like it could be promising (disclaimer: I haven't used it).

The user can use the tqdm library to show a progress bar. https://github.com/ahmedfgad/GeneticAlgorithmPython/discussions/50

Thanks for mentioning PyGAD. OP Please reach out in case any help is needed to get started with PyGAD: https://pygad.readthedocs.io

PyGAD is an open-sources Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

You can find more in the documentation: https://pygad.readthedocs.io

The code examples in this r/Paperspace tutorial are implemented in Python using the PyGAD library.

PyGAD, a Python library for building the genetic algorithm, played CoinTex and was able to pass a complex level with 2 monsters moving randomly and some thrown fires.