This is the website for the seminar course Beyond i.i.d. learning: Causality, dynamics and interactions, which will take place at ETH Zurich during the fall semester of 2021.

The seminar highlights challenges that arise due to the interaction of learning algorithms with (dynamic) environments. It will be divided into two parts: The first part summarizes the basics of statistical learning theory, game theory, causal inference, and dynamical systems in four lectures. This sets the stage for the second part, where distinguished speakers will present selected aspects in greater detail and link them to their current research.

Please regularly check the announcements for recent updates about the course organization. We are also providing a fact sheet that summarizes the most important information.

Keywords: Causal inference, adaptive decision-making, reinforcement learning, game theory, meta learning, interactions with humans