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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

Extension Hub

  • 9. General information
  • 10. Third-party extensions

Appendices

  • A1 - Example pool
  • A2 - API reference
    • MLPro-BF - Basic Functions
    • MLPro-SL - Supervised Learning
    • MLPro-OA - Online Adaptivity
    • MLPro-RL - Reinforcement Learning
    • MLPro-GT - Game Theory
      • MLPro-GT-DynamicGames - Dynamic games
      • MLPro-GT-Native - Native game theory
      • Pool objects
    • 3rd Party Support
  • A3 - Project MLPro
MLPro Documentations
  • A2 - API reference
  • MLPro-GT - Game Theory
  • Edit on GitHub

MLPro-GT - Game Theory

  • MLPro-GT-DynamicGames - Dynamic games
    • GameBoard
    • Player
    • MultiPlayer
    • Game
    • GTTrainingResults
    • GTTraining
    • PGameBoard
    • GTPlayer_SG
    • GTMultiPlayer_SG
  • MLPro-GT-Native - Native game theory
    • GTStrategy
    • GTFunction
    • GTPayoffMatrix
    • GTSolver
    • GTPlayer
    • GTCoalition
    • GTCompetition
    • GTDataStoring
    • GTGame
    • GTTrainingResults
    • GTTraining
  • Pool objects
    • Dynamic Games
    • Native GT
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