ADAPT4CONTROL

The main research question is to set the foundations of fast adaptation in continual learning. His hypothesis is that this problem can be solved by capturing information-rich invariant representations using tools of causal inference and intervening into the environment to maximize information gain. His project will address three fundamental questions:

• Which exact mechanisms should be used to capture invariance?
• How can optimal interventions be planned?
• How can it be theoretically guaranteed that the eventual feedback loop constructs a virtuous cycle?