by Claudia Cutino | Feb 2, 2026
The course is a 1.5‑ECTS hybrid course covering Reinforcement Learning from basics to state-of-the-art algorithms. Students learn to formulate and solve real-world problems using classical and modern techniques, from Q-learning to PPO and SAC, with practical focus on...
by Claudia Cutino | Jan 19, 2016
This course will be an introduction to unsupervised deep learning, covering self supervised machine learning methods and the different paradigms of generative deep learning including autoregressive models, flows, latent variable models, implicit models and denoise...
by Carolina Amado | Dec 22, 2015
Participants will learn about key AI algorithms and techniques, as well as their practical applications. This course is ideal for those looking to understand the fundamental principles of AI
by Claudia Cutino | Oct 20, 2015
