Self-learning systems are artificial agents able to acquire and renew knowledge over time without hard coding. These are adaptive systems whose functions improve by a learning process based -typically- on the method of trial and error. A self-learning system initially interacts with its users or surrounding environment by attempting and observing the changes produced by its actions. This workshop will focus on the design, implementation and exploitation of self-learning features within an Intelligent Environment or some of its components. The workshop will represent an opportunity for academia and industry to debate the state-of-the-art challenges and open issues.