Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games

TL;DR

This paper introduces an efficient method for sequential games that minimizes linear-swap regret, enabling the convergence to a new class of equilibria called linear-deviation correlated equilibria, thus advancing rationality notions in game theory.

Contribution

It demonstrates that polynomial-time algorithms can achieve sublinear linear-swap regret in sequential games, extending the scope of rational strategies beyond existing notions.

Findings

Achieves polynomial-time linear-swap regret minimization in sequential games.

Introduces the concept of linear-deviation correlated equilibria.

Proves the existence of robust equilibria under linear deviations.

Abstract

No-regret learners seek to minimize the difference between the loss they cumulated through the actions they played, and the loss they would have cumulated in hindsight had they consistently modified their behavior according to some strategy transformation function. The size of the set of transformations considered by the learner determines a natural notion of rationality. As the set of transformations each learner considers grows, the strategies played by the learners recover more complex game-theoretic equilibria, including correlated equilibria in normal-form games and extensive-form correlated equilibria in extensive-form games. At the extreme, a no-swap-regret agent is one that minimizes regret against the set of all functions from the set of strategies to itself. While it is known that the no-swap-regret condition can be attained efficiently in nonsequential (normal-form) games, understanding what is the strongest notion of rationality that can be attained efficiently in the worst case in sequential (extensive-form) games is a longstanding open problem. In this paper we provide a positive result, by showing that it is possible, in any sequential game, to retain polynomial-time (in the game tree size) iterations while achieving sublinear regret with respect to all linear transformations of the mixed strategy space, a notion called no-linear-swap regret. This notion of hindsight rationality is as strong as no-swap-regret in nonsequential games, and stronger than no-trigger-regret in sequential games -- thereby proving the existence of a subset of extensive-form correlated equilibria robust to linear deviations, which we call linear-deviation correlated equilibria, that can be approached efficiently.