This lecture provides an overview of current advanced machine learning for different robotic applications. Important fundamental terminology, concepts, and methods are presented for various topics including:

·       Active Learning

·       Transformers

·       Adversarial learning, GANs

·       Deep Reinforcement Learning

·       Goal-Directed Exploration

·       Recurrent Neural Network

And other interesting topics 

The course also includes hands-on sessions for programming and implementing the methods.