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相关论文: Coarse Correlation in Extensive-Form Games

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Self-play methods based on regret minimization have become the state of the art for computing Nash equilibria in large two-players zero-sum extensive-form games. These methods fundamentally rely on the hierarchical structure of the players'…

计算机科学与博弈论 · 计算机科学 2019-10-29 Gabriele Farina , Chun Kai Ling , Fei Fang , Tuomas Sandholm

Hindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further describes jointly rational behavior among multiple agents…

计算机科学与博弈论 · 计算机科学 2022-06-03 Dustin Morrill , Ryan D'Orazio , Marc Lanctot , James R. Wright , Michael Bowling , Amy R. Greenwald

Can classical game-theoretic frameworks be extended to capture the bounded rationality and causal reasoning of AI agents? We investigate this question by extending Causal Normal Form Games (CNFGs) to sequential settings, introducing…

计算机科学与博弈论 · 计算机科学 2026-03-12 Dennis Thumm

The extensive-form game has been studied considerably in recent years. It can represent games with multiple decision points and incomplete information, and hence it is helpful in formulating games with uncertain inputs, such as poker. We…

计算机科学与博弈论 · 计算机科学 2023-03-21 Keigo Habara , Ellen Hidemi Fukuda , Nobuo Yamashita

We analyze the problem of computing a correlated equilibrium that optimizes some objective (e.g., social welfare). Papadimitriou and Roughgarden [2008] gave a sufficient condition for the tractability of this problem; however, this…

计算机科学与博弈论 · 计算机科学 2011-09-29 Albert Xin Jiang , Kevin Leyton-Brown

The computational study of equilibria involving constraints on players' strategies has been largely neglected. However, in real-world applications, players are usually subject to constraints ruling out the feasibility of some of their…

计算机科学与博弈论 · 计算机科学 2024-08-08 Martino Bernasconi , Matteo Castiglioni , Alberto Marchesi , Francesco Trovò , Nicola Gatti

The sequence form, owing to its compact and holistic strategy representation, has demonstrated significant efficiency in computing normal-form perfect equilibria for two-player extensive-form games with perfect recall. Nevertheless, the…

计算机科学与博弈论 · 计算机科学 2025-11-19 Yuqing Hou , Yiyin Cao , Chuangyin Dang , Yong Wang

We examine the problem of efficiently learning coarse correlated equilibria (CCE) in polyhedral games, that is, normal-form games with an exponentially large number of actions per player and an underlying combinatorial structure. Prominent…

计算机科学与博弈论 · 计算机科学 2025-10-10 Andreas Kontogiannis , Vasilis Pollatos , Gabriele Farina , Panayotis Mertikopoulos , Ioannis Panageas

We give a simple proof of the well-known result that the marginal strategies of a coarse correlated equilibrium form a Nash equilibrium in two-player zero-sum games. A corollary of this fact is that no-external-regret learning algorithms…

计算机科学与博弈论 · 计算机科学 2023-10-18 Revan MacQueen

Many real-world strategic games involve interactions between multiple players. We study a hierarchical multi-player game structure, where players with asymmetric roles can be separated into leaders and followers, a setting often referred to…

机器学习 · 计算机科学 2022-10-25 Yaolong Yu , Haifeng Xu , Haipeng Chen

We show that computing approximate stationary Markov coarse correlated equilibria (CCE) in general-sum stochastic games is computationally intractable, even when there are two players, the game is turn-based, the discount factor is an…

机器学习 · 计算机科学 2022-04-11 Constantinos Daskalakis , Noah Golowich , Kaiqing Zhang

The designs of many large-scale systems today, from traffic routing environments to smart grids, rely on game-theoretic equilibrium concepts. However, as the size of an $N$-player game typically grows exponentially with $N$, standard game…

Recently, remarkable progress has been made by approximating Nash equilibrium (NE), correlated equilibrium (CE), and coarse correlated equilibrium (CCE) through function approximation that trains a neural network to predict equilibria from…

计算机科学与博弈论 · 计算机科学 2023-04-28 Zhijian Duan , Yunxuan Ma , Xiaotie Deng

In this paper, we study the problem of multiple stochastic agents interacting in a dynamic game scenario with continuous state and action spaces. We define a new notion of stochastic Nash equilibrium for boundedly rational agents, which we…

最优化与控制 · 数学 2021-10-05 Negar Mehr , Mingyu Wang , Mac Schwager

We study the long-term behavior of the fictitious play process in repeated extensive-form games of imperfect information with perfect recall. Each player maintains incorrect beliefs that the moves at all information sets, except the one at…

计算机科学与博弈论 · 计算机科学 2025-04-28 Jason Castiglione , Gürdal Arslan

A key challenge of evolutionary game theory and multi-agent learning is to characterize the limit behavior of game dynamics. Whereas convergence is often a property of learning algorithms in games satisfying a particular reward structure…

计算机科学与博弈论 · 计算机科学 2022-02-09 Aleksander Czechowski , Georgios Piliouras

Coordination games have been of interest to game theorists, economists, and ecologists for many years to study such problems as the emergence of local conventions and the evolution of cooperative behavior. Approaches for understanding the…

计算机科学与博弈论 · 计算机科学 2025-07-09 John S. McAlister , Nina H. Fefferman

This paper proposes a new equilibrium concept "robust perfect equilibrium" for non-cooperative games with a continuum of players, incorporating three types of perturbations. Such an equilibrium is shown to exist (in symmetric mixed…

理论经济学 · 经济学 2021-05-06 Enxian Chen , Lei Qiao , Xiang Sun , Yeneng Sun

The phenomenon of group cooperation constitutes a fundamental mechanism underlying various social and biological systems. Complex networks provide a structural framework for group interactions, where individuals can not only obtain…

物理与社会 · 物理学 2025-05-29 Hongqian Wu , Hongzhong Deng , Jichao Li , Chengxing Wu , Zhuoting Yu , Haidong Zhang , Gaoxin Qi

Hindsight rationality is an approach to playing general-sum games that prescribes no-regret learning dynamics for individual agents with respect to a set of deviations, and further describes jointly rational behavior among multiple agents…

计算机科学与博弈论 · 计算机科学 2022-06-24 Dustin Morrill , Ryan D'Orazio , Marc Lanctot , James R. Wright , Michael Bowling , Amy Greenwald