Data Science IV (course at WHZ)
Contents
Data Science IV (course at WHZ)#
The last part of the data science lecture series is devoted to reinforcement learning. Next to very basic techniques we also discuss state-of-the-art deep reinforcement learning with artificial neural networks.
Reinforcement Learning#
Week 1 (Overview and Stateless Tasks)#
Week 2 (Markov Decision Processes)#
Self-study
Projects and Exercises
Markov Decision Processes (exercises)
Week 3 (Dynamic Programming)#
Week 4 (Monte Carlo Methods)#
Week 6 (Tic-Tac-Toe)#
Week 7 (Approximate Methods)#
Self-study
Projects and Exercises
Week 8 (Cart Pole SARSA)#
Week 9 (Deep Q-Learning)#
Self-study
Projects and Exercises