Reinforcement Learning

These slides present the principles of Reinforcement Learning as an artificial intelligence tool based on the interaction of the machine with its environment, with applications to control tasks (e.g. robotics, autonomous driving) o decision making. It also advances in the development of deep neural networks trained with little or no supervision, both for discriminative and generative tasks.

The material listed in this site are from the courses taught by Xavier Giró i Nieto, mostly at the following programs of the Universitat Politècnica de Catalunya, in Barcelona, Catalonia:

• Postgraduate course in Artificial Intelligence with Deep Learning (UPC School - AIDL)

• Master's degree in Telecommunications Engineering (ETSETB - MET)

• Master in Advanced Telecommunication Technologies (ETSETB - MATT)

• Bachelor's degree in Data Science and Engineering (FIB+ETSETB+FME - DSE)

This site is based on a previous one developed by Biel Tura.