  We organized a competition on Autonomous Lifelong Machine Learning with Drift
that was part of the competition program of NeurIPS 2018. This data driven
competition asked participants to develop computer programs capable of solving
supervised learning problems where the i.i.d. assumption did not hold. Large
data sets were arranged in a lifelong learning and evaluation scenario and
CodaLab was used as the challenge platform. The challenge attracted more than
300 participants in its two month duration. This chapter describes the design
of the challenge and summarizes its main results.
