Machine learning for floorplanning
I don't work on floorplanning. But nowadays, many machine learning algorithm is base on a dataset and labels, now if you show all of these IC and layout to a network, the network can provide some sort of recommendation.

For example:
https://github.com/timzhang642/3D-Machine-Learning#scene_synthesis
section: Scene Synthesis/Reconstruction

for example this one: Make It Home: Automatic Optimization of Furniture Arrangement (2011, SIGGRAPH)

The main problem in machine learning is dataset, you haven't 1000 or 10000 IC layout, you don't have the tags of chips and their's failers or problem rate in the factory. sometimes such data is secret for a factory. If you have a big dataset, with previous best layouts or problematic ones you can show your layout and the network estimate future.