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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
    • 6.1. Online-adaptive data stream processing (OADSP)
    • 6.2. Online-adaptive closed-loop control
      • 6.2.1. Pool objects
  • 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
  • A3 - Project MLPro
MLPro Documentations
  • 6. MLPro-OA - Online Adaptivity
  • 6.2. Online-adaptive closed-loop control
  • Edit on GitHub

6.2. Online-adaptive closed-loop control

Further descriptions coming soon…

Learn more

  • 6.2.1. Pool objects
    • 6.2.1.1. Online-adaptive controllers

Cross Reference

  • Paper “Online-adaptive PID control using Reinforcement Learning” (Preprint)

  • Paper “Online-adaptive PID control using Reinforcement Learning” (GitHub repo)

  • Howtos OA-Control

  • API Reference OA-Control

  • API Reference OA-Control Pool Objects

  • BF-Control - Basics of Closed-loop Control

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