MLPro Documentations
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MLPro - Machine Learning Professional
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
7.3.1. Player, Coalition, Competition
7.3.2. Payoff
7.3.3. Solvers
7.3.4. Games
7.4. MLPro-GT-DG - Dynamic 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
7.3.
MLPro-GT-Native - Native Games
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7.3.
MLPro-GT-Native - Native Games
7.3.1. Player, Coalition, Competition
7.3.1.1. Player
7.3.1.2. Coalition
7.3.1.3. Competition
7.3.2. Payoff
7.3.2.1. Payoff Matrix
7.3.2.2. Transfer Function
7.3.3. Solvers
7.3.3.1. Custom Solvers
7.3.3.2. Solvers Pool
7.3.4. Games
7.3.4.1. Custom Games
7.3.4.2. Games Pool
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