1 Introduction
2 MLPro-BF – Basic Functions
3 MLPro-SL - Supervised Learning
4 MLPro-RL – Reinforcement Learning
5 MLPro-GT – Game Theory
6 MLPro-UI – Interactive ML
Appendix 1: Examples
Appendix 2: API Reference
Appendix 3: Project MLPro
We provide some examples of MLPro’s GT implementation, which is available on our GitHub file.