Our analysis operates in a "batched"

The question of "as if" rationality - that is, whether selfishly-minded, myopic agents may learn to

AI systems need exact descriptions of tasks to be performed.

Deep learning sometimes appears to work in unexpected ways.

Current test-time adaptation (TT A) approaches aim to adapt a machine learning model to environments that change continuously.