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We introduce a general representation of large-population games in which eachplayer s influence ON the others IS centralized AND limited, but may otherwisebe arbitrary.This representation significantly generalizes the class known AScongestion games IN a natural way.Our main results are provably correct ANDefficient algorithms FOR computing AND learning approximate Nash equilibria INthis general framework.

Efficient Nash Computation in Large Population Games with Bounded Influence