Real-world uses

Created for this library

1. 1.

   An ML team runs offline evaluation on a frozen test set so model owners can compare versions reproducibly.

2. 2.

   A research team runs offline RL training on logged interactions instead of live policy exploration in safety-critical settings.

3. 3.

   A retail demand team runs offline batch inference nightly for SKU forecasts that update planning systems each morning.