Reinforcement Learning From Scratch

After studying computer science and philosophy with a focus on artificial intelligence and machine learning at the Humboldt University Berlin and for a few years as a project engineer, Uwe Lorenz currently works as a high school teacher for computer science and mathematics and at the Free University of Berlin in the Computing Education Research Group, - since his first contact with computers at the end of the 1980s he couldn't let go of the topic of artificial intelligence.

• 1 Reinforcement learning as subfield of machine learning.- 2 Basic concepts of reinforcement learning.- 3 Optimal decision-making in a known environment.- 4 decision making and learning in an unknown environment.- 5 Artificial Neural Networks as estimators for state values and the action selection.- 6 Guiding ideas in Artificial Intelligence over time.