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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

Extension Hub

  • 8. General Information
  • 9. Third-Party Extensions

Appendices

  • A1 - Example Pool
  • A2 - API Reference
    • Core Functions
    • Pool Objects
      • MLPro-BF - Basic Functions
      • MLPro-SL - Supervised Learning
      • MLPro-RL - Reinforcement Learning
      • MLPro-GT - Game Theory
        • Dynamic Games
        • Native GT
      • MLPro-OA - Online Adaptivity
    • 3rd Party Support
  • A3 - Project MLPro
MLPro Documentations
  • A2 - API Reference
  • Pool Objects
  • MLPro-GT - Game Theory
  • Edit on GitHub

MLPro-GT - Game Theory

  • Dynamic Games
    • Game Boards
      • Bulk Goods Plant
      • Multi-Cartpole
  • Native GT
    • Games
      • 2P Prisoners Dilemma
      • 3P Prisoners Dilemma
      • Rock, Paper, Scissors
      • 3P Routing Problems
      • 3P Supply and Demand
    • Solvers
      • Greedy Policy
      • Random Solver
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