This unit introduces the fundamental concepts of reinforcement learning, a type of machine learning that enables agents to learn optimal behavior through interactions with their environment. Students will gain an understanding of the key components, algorithms, and applications of reinforcement learning. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• The Reinforcement Learning Cycle
• Types of Reinforcement Learning
• Value Functions
• Bellman Equations
• Value Iteration
• Policies
• Policy Evaluation
• Policy Improvement