How to Learn a Program?

We will discuss novel ways of making robots and other agents smarter 
through machine learning algorithms. The focus will be on sequence 
learning as opposed to conventional pattern recognition. We will 
outline very general, asymptotically optimal problem solvers pioneered 
in our lab, as well as practical applications based on state-of-the-art 
adaptive feedback neural networks, with examples ranging from challenging 
control tasks to handwriting recognition and music composition.