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Establishing the existence of Nash equilibria for partially observed stochastic dynamic games is known to be quite challenging, with the difficulties stemming from the noisy nature of the measurements available to individual players…

系统与控制 · 计算机科学 2018-06-06 Naci Saldi , Tamer Basar , Maxim Raginsky

Noncooperative game-theoretic tools have been increasingly used to study many important resource allocation problems in communications, networking, smart grids, and portfolio optimization. In this paper, we consider a general class of…

计算机科学与博弈论 · 计算机科学 2016-11-17 Gesualdo Scutari , Francisco Facchinei , Jong-Shi Pang , Daniel P. Palomar

This paper investigates Nash equilibria (NEs) in multi-player turn-based games on graphs, where player preferences are modeled as $\omega$-automatic relations via deterministic parity automata. Unlike much of the existing literature, which…

计算机科学中的逻辑 · 计算机科学 2026-01-23 Véronique Bruyère , Christophe Grandmont , Jean-François Raskin

We introduce set packing games as an abstraction of situations in which $n$ selfish players select subsets of a finite set of indivisible items, and analyze the quality of several equilibria for this class of games. Assuming that players…

计算机科学与博弈论 · 计算机科学 2023-03-06 Jasper de Jong , Marc Uetz

In this paper we focus on noncooperative games with uncertain constraints coupling the agents' decisions. We consider a setting where bounded deviations of agents' decisions from the equilibrium are possible, and uncertain constraints are…

最优化与控制 · 数学 2023-11-28 George Pantazis , Filiberto Fele , Kostas Margellos

The problem of scheduling tasks on $p$ processors so that no task ever gets too far behind is often described as a game with cups and water. In the $p$-processor cup game on $n$ cups, there are two players, a filler and an emptier, that…

数据结构与算法 · 计算机科学 2021-02-11 William Kuszmaul , Alek Westover

People choose their strategies through a trial-and-error learning process in which they gradually discover that some strategies work better than others. The process can be modelled as an evolutionary game dynamics system, which may be…

理论经济学 · 经济学 2023-02-21 Wang Zhijian

We study optimal equilibria in multi-player games. An equilibrium is optimal for a player, if her payoff is maximal. A tempting approach to solving this problem is to seek optimal Nash equilibria, the standard form of equilibria where no…

计算机科学与博弈论 · 计算机科学 2013-07-09 Anshul Gupta , Sven Schewe

We propose a new dynamics for equilibrium selection of finite player discrete strategy games. The dynamics is motivated by optimal transportation, and models individual players' myopicity, greedy and uncertainty when making decisions. The…

最优化与控制 · 数学 2017-07-26 Shui-Nee Chow , Wuchen Li , Jun Lu , Haomin Zhou

In this work, we present a novel characterization of approximate Nash equilibria in a class of convex games over the simplex. To achieve this, we regularize the utility functions using the Shannon entropy term, connect the solutions to the…

最优化与控制 · 数学 2025-07-18 Tatiana Tatarenko , S. Rasoul Etesami

We study a novel control problem in the context of network coordination games: the individuation of the smallest set of players capable of driving the system, globally, from one Nash equilibrium to another one. Our main contribution is the…

计算机科学与博弈论 · 计算机科学 2019-12-18 Stephane Durand , Giacomo Como , Fabio Fagnani

We investigate complexity issues related to pure Nash equilibria of strategic games. We show that, even in very restrictive settings, determining whether a game has a pure Nash Equilibrium is NP-hard, while deciding whether a game has a…

计算机科学与博弈论 · 计算机科学 2013-07-19 G. Gottlob , G. Greco , F. Scarcello

While Nash equilibrium has emerged as the central game-theoretic solution concept, many important games contain several Nash equilibria and we must determine how to select between them in order to create real strategic agents. Several Nash…

计算机科学与博弈论 · 计算机科学 2024-04-30 Sam Ganzfried

A long-standing open problem in algorithmic game theory asks whether or not there is a polynomial time algorithm to compute a Nash equilibrium in a random bimatrix game. We study random win-lose games, where the entries of the $n\times n$…

计算机科学与博弈论 · 计算机科学 2025-10-16 Andrea Collevecchio , Gabor Lugosi , Adrian Vetta , Rui-Ray Zhang

We explore the computational complexity of computing pure Nash equilibria for a new class of strategic games called integer programming games with difference of piecewise linear convex payoffs. Integer programming games are games where…

计算机科学与博弈论 · 计算机科学 2017-01-03 Matthias Köppe , Christopher Thomas Ryan , Maurice Queyranne

In this short note we study a class of multi-player, turn-based games with deterministic state transitions and reachability / safety objectives (this class contains as special cases "classic" two-player reachability and safety games as well…

计算机科学与博弈论 · 计算机科学 2018-10-05 Athanasios Kehagias

In many game settings, the game is not explicitly given but is only accessible by playing it. While there have been impressive demonstrations in such settings, prior techniques have not offered safety guarantees, that is, guarantees on the…

计算机科学与博弈论 · 计算机科学 2020-12-17 Brian Hu Zhang , Tuomas Sandholm

We study the computation of equilibria of anonymous games, via algorithms that may proceed via a sequence of adaptive queries to the game's payoff function, assumed to be unknown initially. The general topic we consider is \emph{query…

计算机科学与博弈论 · 计算机科学 2016-05-06 Paul W. Goldberg , Stefano Turchetta

Energy parity games are infinite two-player turn-based games played on weighted graphs. The objective of the game combines a (qualitative) parity condition with the (quantitative) requirement that the sum of the weights (i.e., the level of…

计算机科学中的逻辑 · 计算机科学 2012-04-04 Krishnendu Chatterjee , Laurent Doyen

We study a game with \emph{strategic} vendors who own multiple items and a single buyer with a submodular valuation function. The goal of the vendors is to maximize their revenue via pricing of the items, given that the buyer will buy the…

计算机科学与博弈论 · 计算机科学 2014-08-04 Omer Lev , Joel Oren , Craig Boutilier , Jeffery S. Rosenschein
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