MLPro-Int-PettingZoo - Integration between PettingZoo and MLPro

Welcome to MLPro-Int-PettingZoo, an extension to MLPro to integrate the PettingZoo package. MLPro is a middleware framework for standardized machine learning in Python. It is developed by the South Westphalia University of Applied Sciences, Germany, and provides standards, templates, and processes for hybrid machine learning applications. PettingZoo, in turn, provides a diverse suite of environments for multi-agent reinforcement learning.

MLPro-Int-PettingZoo offers wrapper classes that allow the reuse of environments from PettingZoo in MLPro, or the other way around.

Preparation

Before running the examples, please install the latest versions of MLPro, PettingZoo, and MLPro-Int-PettingZoo as follows:

pip install mlpro-int-pettingzoo[full] --upgrade

See also

• MLPro - Machine Learning Professional

• MLPro-RL - Sub-framework for reinforcement learning

• PettingZoo - An API standard for multi-agent reinforcement learning

• Further MLPro extensions

• MLPro-Int-PettingZoo on GitHub

Example Pool

• Reinforcement Learning
  • Howto RL-WP-001: MLPro Environment to PettingZoo Environment
  • Howto RL-WP-002: Run Multi-Agent on PettingZoo Environment

API Reference

• Wrapper Root Class
  • WrEnvPZOO2MLPro
  • WrEnvMLPro2PZoo

About

• Release Notes
• Disclaimer
  • Disclaimers for MLPro Usage
  • Consent