We study the problem of optimal contract design in an environment with an uninformed decision maker and two perfectly informed experts. We characterize optimal contracts and observe that consulting two experts rather than one is always beneficial; this is so even if the bias of a second expert...

We consider an agent who has to repeatedly make choices in an uncertain and changing environment, who has full information of the past, who discounts future payoffs, but who has no prior. We provide a learning algorithm that performs almost as well as the best of a given finite number of experts...