Reinforcement Learning Onramp


 

Zugriff auf MATLAB über Ihren Webbrowser

 

Vertiefende Video-Tutorials

 

Praktische Übungen mit automatisierten Bewertungen und Feedback

 

Lessons available in English


Wählen Sie eine Lektion für den Einstieg


1.

Overview of Reinforcement Learning

Familiarize yourself with reinforcement learning concepts and the course.

  • What is reinforcement learning?
  • Course overview
  • Simulating with a pretrained agent

2.

Defining the Environment

Define how an agent interacts with an environment model.

  • Components of a reinforcement learning model
  • Defining an environment interface
  • Rewards and training
  • Including actions in the reward
  • Connecting a Simulink environment to a MATLAB agent

3.

Defining Agents

Create representations of reinforcement learning agents.

  • Critics and Q values
  • Representing critics for continuous problems
  • Creating neural networks
  • Actors and critics
  • Summary of agents

4.

Training Agents

Use simulation episodes to train an agent.

  • Training
  • Improving training

Verwandte Kurse

Deep Learning Onramp

Einstieg in Deep Learning mit Methoden zur Bilderkennung.

Simulink Onramp

Schneller Einstieg in die Grundlagen von Simulink.