Machines Capable of Rapid Learning in Unknown Environment

The goal of GROW is to propose a fundamental new paradigm of machines that are not trained to perform a certain task but instead can evolve and continually learn from experiences and apply previously learned knowledge to novel situations. Artificial Intelligence (AI) methods are becoming part of our daily lives, in face recognition, speech recognition in mobile phones or automatic translation. Computers can now outperform humans in many domains such as Chess, Go, or even poker. However, these systems still pale in comparison to even simple biological intelligence, which can learn and adapt to unforeseen experiences.