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v1.4.4

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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
  • Edit on GitHub

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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