Reinforcement Learning Algorithms
Distance Learning · Further Education · Machine Learning and Artificial Intelligence
This unit introduces the fundamental concepts of reinforcement learning algorithms, including Markov decision processes, Q-learning, and policy gradients. Students will explore applications of reinforcement learning in robotics, game playing, and optimization.
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Das gehört dazu
- Markov Decision Processes
- Value Functions and Bellman Equations
- Q-learning
- Policy Gradients
- Applications of Reinforcement Learning in Robotics
- Applications of Reinforcement Learning in Game Playing
- Applications of Reinforcement Learning in Optimization
Stichworte
- Reinforcement Learning
- Robotics
- Game Playing
- Optimization