Reinforcement Learning agent and a configurator that can modify some environmental parameters to improve the agent's performance.

This protocol is often regarded as a "golden compass" for navigating SoT A detectors. But can these stand-out "winners" be

We find that the performance of the pre-training data varies substantially across distribution shifts, with no single data source dominating.

All models discussed in the paper use ReLU non-linearity.