Machine learned models are increasingly entering wider ranges ofdomains inour lives, driving a constantly increasing number of important systems. Large scale systems can be trained in highly parallel and distributed training environments, with a large amount of randomness in training the models.

The WSCL aims to pull WSIs with the same disease types closer andpush different WSIs away.

This paper focuses on MDPs with linearly realizable optimal Q-functionQ?.