Integrating multi-modal clinical data, such as electronic health records (EHR) and chest X-ray images (CXR), is particularly beneficial for clinical prediction tasks. However, in a temporal setting, multi-modal data are often inherently asynchronous.

"equiconnected", which is a stronger result that we will define and introduce later in the paper.

We present an application of the connectedness of these superlevel sets to the derivation of minimax theorems for robust reinforcement learning.