activity
20042026
most citedReachability in Two-Clock Timed Automata is PSPACE-complete

27 citations · 187 across the 36 of their papers we have counts for

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21 papers · 1 filter

cs.GT2026

Constant Inapproximability for Fisher Markets

Argyrios Deligkas, John Fearnley, Alexandros Hollender +1

We study the problem of computing approximate market equilibria in Fisher markets with separable piecewise-linear concave (SPLC) utility functions. In this setting, the problem was…

cs.GT2026

Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

Argyrios Deligkas, John Fearnley, Alexandros Hollender +1

We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, m…

cs.GT2022

Tight Inapproximability for Graphical Games

Argyrios Deligkas, John Fearnley, Alexandros Hollender +1

We provide a complete characterization for the computational complexity of finding approximate equilibria in two-action graphical games. We consider the two most well-studied appro…

cs.GT2020

Path Polymatrix Games are PPAD-hard

Argyrios Deligkas, John Fearnley, Rahul Savani

We prove that it is PPAD-hard to compute a Nash equilibrium in a tree polymatrix game with at most twenty actions per player, and path polymatrix game with at most four hundred act…

cs.GT2020

One-Clock Priced Timed Games are PSPACE-hard

John Fearnley, Rasmus Ibsen-Jensen, Rahul Savani

The main result of this paper is that computing the value of a one-clock priced timed game (OCPTG) is PSPACE-hard. Along the way, we provide a family of OCPTGs that have an exponen…

cs.GT2018

An Improved Envy-Free Cake Cutting Protocol for Four Agents

Georgios Amanatidis, George Christodoulou, John Fearnley +3

We consider the classic cake-cutting problem of producing envy-free allocations, restricted to the case of four agents. The problem asks for a partition of the cake to four agents,…

cs.GT2017

Computing Constrained Approximate Equilibria in Polymatrix Games

Argyrios Deligkas, John Fearnley, Rahul Savani

This paper is about computing constrained approximate Nash equilibria in polymatrix games, which are succinctly represented many-player games defined by an interaction graph betwee…

cs.GT2016★ 4 cited

Inapproximability Results for Approximate Nash Equilibria

Argyrios Deligkas, John Fearnley, Rahul Savani

We study the problem of finding approximate Nash equilibria that satisfy certain conditions, such as providing good social welfare. In particular, we study the problem -NE -S…

cs.GT2016★ 8 cited

An Empirical Study on Computing Equilibria in Polymatrix Games

Argyrios Deligkas, John Fearnley, Tobenna Peter Igwe +1

The Nash equilibrium is an important benchmark for behaviour in systems of strategic autonomous agents. Polymatrix games are a succinct and expressive representation of multiplayer…

cs.GT2015★ 21 cited

Distributed Methods for Computing Approximate Equilibria

Artur Czumaj, Argyrios Deligkas, Michail Fasoulakis +3

We present a new, distributed method to compute approximate Nash equilibria in bimatrix games. In contrast to previous approaches that analyze the two payoff matrices at the same t…

cs.GT2015

Lipschitz Continuity and Approximate Equilibria

Argyrios Deligkas, John Fearnley, Paul Spirakis

In this paper, we study games with continuous action spaces and non-linear payoff functions. Our key insight is that Lipschitz continuity of the payoff function allows us to provid…

cs.GT2015

An Empirical Study of Finding Approximate Equilibria in Bimatrix Games

John Fearnley, Tobenna Peter Igwe, Rahul Savani

While there have been a number of studies about the efficacy of methods to find exact Nash equilibria in bimatrix games, there has been little empirical work on finding approximate…

cs.GT2014★ 14 cited

Computing Approximate Nash Equilibria in Polymatrix Games

Argyrios Deligkas, John Fearnley, Rahul Savani +1

In an -Nash equilibrium, a player can gain at most by unilaterally changing his behaviour. For two-player (bimatrix) games with payoffs in , the best-known achieva…

cs.GT2013

Finding Approximate Nash Equilibria of Bimatrix Games via Payoff Queries

John Fearnley, Rahul Savani

We study the deterministic and randomized query complexity of finding approximate equilibria in bimatrix games. We show that the deterministic query complexity of finding an -Na…

cs.GT2013★ 6 cited

Learning Equilibria of Games via Payoff Queries

John Fearnley, Martin Gairing, Paul Goldberg +1

A recent body of experimental literature has studied empirical game-theoretical analysis, in which we have partial knowledge of a game, consisting of observations of a subset of th…

cs.GT2012

Approximate Well-supported Nash Equilibria below Two-thirds

John Fearnley, Paul W. Goldberg, Rahul Savani +1

In an epsilon-Nash equilibrium, a player can gain at most epsilon by changing his behaviour. Recent work has addressed the question of how best to compute epsilon-Nash equilibria,…

cs.GT2011★ 3 cited

Time and Parallelizability Results for Parity Games with Bounded Tree and DAG Width

John Fearnley, Sven Schewe

Parity games are a much researched class of games in NP intersect CoNP that are not known to be in P. Consequently, researchers have considered specialised algorithms for the case…

cs.GT2010★ 2 cited

Efficient Approximation of Optimal Control for Markov Games

John Fearnley, Markus Rabe, Sven Schewe +1

We study the time-bounded reachability problem for continuous-time Markov decision processes (CTMDPs) and games (CTMGs). Existing techniques for this problem use discretisation tec…

cs.GT2010

Playing Muller Games in a Hurry

John Fearnley, Martin Zimmermann

This work studies the following question: can plays in a Muller game be stopped after a finite number of moves and a winner be declared. A criterion to do this is sound if Player 0…

cs.GT2010★ 14 cited

Non-oblivious Strategy Improvement

John Fearnley

We study strategy improvement algorithms for mean-payoff and parity games. We describe a structural property of these games, and we show that these structures can affect the behavi…

cs.GT2009

Linear Complementarity Algorithms for Infinite Games

John Fearnley, Marcin Jurdziński, Rahul Savani

The performance of two pivoting algorithms, due to Lemke and Cottle and Dantzig, is studied on linear complementarity problems (LCPs) that arise from infinite games, such as parity…