Lectures related to Robot Learning and Control

Covers applied machine learning concepts, interactive sessions, exercises, software tools, and practical aspects for student engagement.

Explores the benefits, challenges, and applications of self-organization in various fields.

Covers the application of reinforcement learning to teach Pacman to play autonomously by trial and error.

Covers learning dynamics in finite action games and explores various types of equilibria, including correlated and coarse correlated equilibria.