This paper studies the problem of an agent who wants to prevent the state from exceeding a critical threshold. Even though the agent is presumed to know the model, the optimal policy is computed by solving a conventional robust control problem. That is, robustness is induced here by objectives...

This paper studies adaptive learning with multiple models. An agent operating in a self-referential environment is aware of potential model misspecification, and tries to detect it, in real-time, using an econometric specification test. If the current model passes the test, it is used to...

This paper attempts to relate two apparently distinct literatures. One is the so-called `robust control' literature. Robust control methods were developed by engineers during the 1980s, and are designed to make traditional Linear-Quadratic control more robust to model misspecification. Rather...