Reinforcement Learning
Technology · General Knowledge · Artificial Intelligence
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.
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-based reinforcement learning
- Policy-based reinforcement learning
- Deep reinforcement learning
- Applications of reinforcement learning
Stichworte
- reinforcement learning
- agents
- environments
- rewards
- penalties
- Q-learning
- SARSA
- deep reinforcement learning