Reinforcement Learning
Information Technology · University of Applied Sciences · Artificial Intelligence
This unit introduces the fundamental concepts of Reinforcement Learning, a powerful technique in Artificial Intelligence. Students will learn about agents, environments, rewards, and how these elements interact to enable learning through trial and error.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Reinforcement Learning
- Markov Decision Processes
- Value Functions and Bellman Equations
- Policy Evaluation and Improvement
- Q-Learning and SARSA
- Deep Reinforcement Learning
- Applications of Reinforcement Learning
Stichworte
- Reinforcement Learning
- Agents
- Environments
- Rewards
- Value Functions
- Policy Evaluation
- Policy Improvement
- Q-Learning