معلومات المساق

Lehrinhalte
• Review of machine learning background
• Black box Reinforcement Learning
• Modeling as bandit, Markov Decision Processes and Partially Observable Markov Decision Processes
• Optimal control
• System identification
• Learning value functions
• Policy search
• Deep value functions methods
• Deep policy search methods
• Exploration vs exploitation
• Hierarchical reinforcement learning
• Intrinsic motivation

Voraussetzungen
Good programming in Python.
Lecture Statistical Machine Learning is helpful but not mandatory.