For each prediction task, we select features that have a causal influence on the target of prediction.

In ICL, a conditional generative model (CGM) is prompted with a dataset and a prediction question and asked to generate a response.

Current subgame-solving techniques analyze the entire common-knowledge closureof the player's current information set, that is, the smallest set of nodes within which it is common knowledge that the currentnodelies.