Typical examples are hyperparameters selection [5, 38, 17, 6], data augmentation [11, 42], implicit deep learning [3] or neural architecture search [33]. Figure 1: Convergence curves of the two proposed methods on a toy problem.

In doing so, we are able to find the exact settings for which different methodsprovablybecome identical.

Our goal is to bridge the gap between deep reinforcement learning research and industrial manufacturing by creating simulation environments that model real-world factories.