Reinforcement Learning
Computer Science · University of Applied Sciences · Artificial Intelligence
This unit introduces the fundamental concepts of Reinforcement Learning, including Q-learning and policy gradient methods. Students will gain a comprehensive understanding of how agents can learn optimal behavior in complex environments through interactions and rewards.
Zum Üben gibt es 55 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Reinforcement Learning
- Markov Decision Processes
- Value Functions
- Q-learning
- Policy Gradient Methods
- Exploration vs Exploitation
- Deep Reinforcement Learning
- Applications of Reinforcement Learning
Stichworte
- Reinforcement Learning