The RLeap project aims at bringing together two of the main current research threads in Artificial Intelligence:

• Data-based learners capable of inferring behavior and functions from experience and data.
• Model-based solvers capable of tackling well-defined but intractable models.

Our research is focused on the integration of learners and solvers in the context of acting, addressing the problem of learning first-order symbolic representations from raw perceptions alone without using any specific prior symbolic knowledge. Read more about the project.