compact mode in policy learning

hello,

 

not really clear on how it works compact mode in ASM learning. could somebody make an example? I am clear on "selective", "add all entities" and its differences.

 

how compact changes things on the table? is it like selective and on top it adds the most seen parameters? does it work also with manual?

 

can somebody pls make an example?

 

thanks