Clean up pre-trained examples

[micahcarroll]

Currently have just one available, but we should have multiple and have them better documented.

• Run all scripts and visualize training runs and get an intuition for them
• Improve documentation for loading your saved model

Steps:

1. Pick best performing model for each layout from sweep
2. Use hyperparameters from that run and put them in a .sh file with 5 different seeds, for each layout
3. Run bash file
4. Look at results (check reasonably good), and save models somewhere (in repo if not too big, otherwise google drive)
5. Put best performing out of 5 seeds into demo as pre-loaded defaults for each layout

[github-actions[bot]]

This issue is stale because it has been open for 30 days with no activity. It will be closed in 14 days unless there is some new activity