Choosing the right action in an uncertain world, with provable optimality.
Strengthening theoretical guarantees, and illuminating the understanding of phenomenons and complex systems from pure data.
Acting in a dynamic world that is partially known and adverse, facing obstacles and constraints in an adaptive and optimistic way.
Building, in an idealistic world, the key statistical tools to understand the what and how of learning.