MLPro Documentations
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MLPro - Elevate your machine learning journey
Welcome to MLPro
1. Introduction
2. Getting started
3. News ticker
Basic Functions
4. MLPro-BF - Basic Functions
Machine Learning
5. MLPro-SL - Supervised Learning
6. MLPro-OA - Online Adaptivity
7. MLPro-RL - Reinforcement Learning
8. MLPro-GT - Game Theory
8.1. Overview
8.2. Getting started
8.3. MLPro-GT-Native - Native games
8.4. MLPro-GT-DG - Dynamic games
8.4.1. Game Boards
8.4.2. Players
8.4.2.1. Custom Policies
8.4.2.2. Players Pool
8.4.3. Games
Extension Hub
9. General information
10. Third-party extensions
Appendices
A1 - Example pool
A2 - API reference
A3 - Project MLPro
MLPro Documentations
8.
MLPro-GT - Game Theory
8.4.
MLPro-GT-DG - Dynamic games
8.4.2.
Players
8.4.2.2.
Players Pool
Edit on GitHub
8.4.2.2.
Players Pool
8.4.2.2.1. State-Based Potential Games (SbPG)