Reinforcement learning is a type of machine learning where agents learn through trial and error, interacting with their environment to maximize rewards and minimize penalties. In this unit, you will explore the fundamental concepts and algorithms of reinforcement learning, enabling you to build intelligent agents that can make optimal decisions in complex environments. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.
Erklärung und Beispielaufgaben