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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
    • 7.1. Overview
    • 7.2. Getting started
    • 7.3. Environments
    • 7.4. Agents
      • 7.4.1. Custom policies
      • 7.4.2. Policy pool
        • 7.4.2.1. Random Action Generator
        • 7.4.2.2. Model Predictive Control (MPC)
      • 7.4.3. Model-based agents
      • 7.4.4. Multi-agents
    • 7.5. Scenarios
    • 7.6. Training and tuning
    • 7.7. 3rd party support
  • 8. MLPro-GT - Game Theory

Extension Hub

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

Appendices

  • A1 - Example pool
  • A2 - API reference
  • A3 - Project MLPro
MLPro Documentations
  • 7. MLPro-RL - Reinforcement Learning
  • 7.4. Agents
  • 7.4.2. Policy pool
  • Edit on GitHub

7.4.2. Policy pool

  • 7.4.2.1. Random Action Generator
  • 7.4.2.2. Model Predictive Control (MPC)
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