Reinforcement Learning
Bachelor of Science in Computer Science · University · Artificial Intelligence
This unit introduces reinforcement learning algorithms, which enable agents to learn optimal behavior through interactions with their environment. Students will explore Q-learning and actor-critic methods, gaining a deep understanding of reward-based learning.
Zum Üben gibt es 52 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
- Q-learning
- Actor-Critic Methods
- Exploration and Exploitation
- Applications of Reinforcement Learning
Stichworte
- Reinforcement Learning
- Reward-Based Learning
- Machine Learning
- Artificial Intelligence
- Computer Science