Lecture
This lecture introduces the different types of learning in the context of neurorobotics, focusing on supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves learning from labeled examples to generalize mappings to new stimuli. Unsupervised learning aims to find structure in data by discovering different classes of stimuli and identifying useful feature bases. Reinforcement learning centers around maximizing rewards by learning actions based on received rewards.