  To encourage the development of methods with reproducible and robust training
behavior, we propose a challenge paradigm where competitors are evaluated
directly on the performance of their learning procedures rather than
pre-trained agents. Since competition organizers re-train proposed methods in a
controlled setting they can guarantee reproducibility, and -- by retraining
submissions using a held-out test set -- help ensure generalization past the
environments on which they were trained.
