Tutorial: Warm-starting with Imitation Learning

[Lucaweihs]

Problem

We would like a tutorial which demonstrates how to use multiple PipelineStages. To this end lets make a tutorial showing how to warm start with imitation learning. As @unnat as already implemented such experiment configurations for the LC Corrupt S15N7 task (and these are in the paper) we should probably just use these.

Solution

This requires:

• Merging the relevant ADVISOR configuration.
• Writing the tutorial.

Possible issues:

• The ADVISOR configurations make some about how gin-config works that are no longer true after this update. Namely, since the light_engine is initialized on a separate process (created by "forkserver") any parameters set by gin-config will not propagate to this newly spawned process. To get around this we'll have to change how we're using gin-config a bit. Ask me about this.

Dependencies

None