For those who read my previous comment, an example of pre-game communication collusion that the AI in the paper invented was to decide that any hint involving red or yellow _also_ means that your most recently acquired tile is immediately playable.
"Roughly 40% of the information is obtained through conventions rather than through the grounded information and card counting"
(what I have been describing as "collusion" the paper describes as "conventions" but it amounts to the same thing -- you can pass a lot more information than the hints imply if you can plan ahead)
yes - this was the focus of our method: Allowing agents to interpret the actions of others, while also learning to be interpretable when observed by other agents.
For those who read my previous comment, an example of pre-game communication collusion that the AI in the paper invented was to decide that any hint involving red or yellow _also_ means that your most recently acquired tile is immediately playable.
"Roughly 40% of the information is obtained through conventions rather than through the grounded information and card counting"
(what I have been describing as "collusion" the paper describes as "conventions" but it amounts to the same thing -- you can pass a lot more information than the hints imply if you can plan ahead)
That is super fascinating.