MLPro Documentations
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MLPro - Elevate your machine learning journey
Welcome to MLPro
1. Introduction
2. Getting started
Basic Functions
3. MLPro-BF - Basic Functions
Machine Learning
4. MLPro-SL - Supervised Learning
5. MLPro-OA - Online Adaptivity
6. MLPro-RL - Reinforcement Learning
7. MLPro-GT - Game Theory
7.1. Overview
7.2. Getting started
7.3. MLPro-GT-Native - Native games
7.4. MLPro-GT-DG - Dynamic games
7.4.1. Game Boards
7.4.1.1. Custom Game boards
7.4.1.2. Reusing RL Environments
7.4.1.3. Game board Pool
7.4.2. Players
7.4.3. Games
Extension Hub
8. General information
9. Third-party extensions
Appendices
A1 - Example pool
A2 - API reference
A3 - Project MLPro
MLPro Documentations
7.
MLPro-GT - Game Theory
7.4.
MLPro-GT-DG - Dynamic games
7.4.1.
Game Boards
7.4.1.3.
Game board Pool
Edit on GitHub
7.4.1.3.
Game board Pool
7.4.1.3.1. BGLP
7.4.1.3.2. Multicartpole