Rahul Savani

According to our database, Rahul Savani authored at least 74 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Policy Space Response Oracles: A Survey.

Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek

CoRR, 2024

Two Choices are Enough for P-LCPs, USOs, and Colorful Tangents.

Michaela Borzechowski, John Fearnley, Spencer Gordon, Rahul Savani, Patrick Schnider, Simon Weber

CoRR, 2024

2023

The Complexity of Gradient Descent: CLS = PPAD ∩ PLS.

John Fearnley, Paul Goldberg, Alexandros Hollender, Rahul Savani

J. ACM, February, 2023

The Complexity of Computing KKT Solutions of Quadratic Programs.

John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani

CoRR, 2023

Ordinal Potential-based Player Rating.

Nelson Vadori, Rahul Savani

CoRR, 2023

First Order Methods for Geometric Optimization of Crystal Structures.

Antonia Tsili, Matthew S. Dyer, Vladimir V. Gusev, Piotr Krysta, Rahul Savani

CoRR, 2023

Mbt-gym: Reinforcement learning for model-based limit order book trading.

Joseph Jerome, Leandro Sánchez-Betancourt, Rahul Savani, Martin Herdegen

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness.

Andrea Coletta, Joseph Jerome, Rahul Savani, Svitlana Vyetrenko

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

A Faster Algorithm for Finding Tarski Fixed Points.

John Fearnley, Dömötör Pálvölgyi, Rahul Savani

ACM Trans. Algorithms, 2022

Model-based gym environments for limit order book trading.

Joseph Jerome, Leandro Sánchez-Betancourt, Rahul Savani, Martin Herdegen

CoRR, 2022

Generative Models over Neural Controllers for Transfer Learning.

James Butterworth, Rahul Savani, Karl Tuyls

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures.

Nelson Vadori, Rahul Savani, Thomas Spooner, Sumitra Ganesh

Proceedings of the International Conference on Machine Learning, 2022

Market Making with Scaled Beta Policies.

Joseph Jerome, Gregory Palmer, Rahul Savani

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent.

Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Reachability Switching Games.

John Fearnley, Martin Gairing, Matthias Mnich, Rahul Savani

Log. Methods Comput. Sci., 2021

Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning.

Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson

Auton. Agents Multi Agent Syst., 2021

A Faster Algorithm for Finding Tarski Fixed Points.

John Fearnley, Rahul Savani

Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science, 2021

Trading via selective classification.

Nestoras Chalkidis, Rahul Savani

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

The Complexity of Gradient Descent (Invited Talk).

Rahul Savani

Proceedings of the 41st IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, 2021

Difference Rewards Policy Gradients.

Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation.

Alex Singleton, Alexandros Alexiou, Rahul Savani

Comput. Environ. Urban Syst., 2020

Unique end of potential line.

John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani

J. Comput. Syst. Sci., 2020

A deep learning approach to identify unhealthy advertisements in street view images.

Gregory Palmer, Mark Green, Emma Boyland, Yales Stefano Rios Vasconcelos, Rahul Savani, Alex Singleton

CoRR, 2020

A Natural Actor-Critic Algorithm with Downside Risk Constraints.

Thomas Spooner, Rahul Savani

CoRR, 2020

One-Clock Priced Timed Games are PSPACE-hard.

John Fearnley, Rasmus Ibsen-Jensen, Rahul Savani

Proceedings of the LICS '20: 35th Annual ACM/IEEE Symposium on Logic in Computer Science, 2020

Robust Market Making via Adversarial Reinforcement Learning.

Thomas Spooner, Rahul Savani

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tree Polymatrix Games Are PPAD-Hard.

Argyrios Deligkas, John Fearnley, Rahul Savani

Proceedings of the 47th International Colloquium on Automata, Languages, and Programming, 2020

The Automated Inspection of Opaque Liquid Vaccines.

Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Preface to the Special Issue on Algorithmic Game Theory.

Martin Gairing, Rahul Savani

Theory Comput. Syst., 2019

Computing Stable Outcomes in Symmetric Additively Separable Hedonic Games.

Martin Gairing, Rahul Savani

Math. Oper. Res., 2019

Distributed Methods for Computing Approximate Equilibria.

Artur Czumaj, Argyrios Deligkas, Michail Fasoulakis, John Fearnley, Marcin Jurdzinski, Rahul Savani

Algorithmica, 2019

Evolving indoor navigational strategies using gated recurrent units in NEAT.

James Butterworth, Rahul Savani, Karl Tuyls

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Negative Update Intervals in Deep Multi-Agent Reinforcement Learning.

Gregory Palmer, Rahul Savani, Karl Tuyls

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning.

Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

The Complexity of All-switches Strategy Improvement.

John Fearnley, Rahul Savani

Log. Methods Comput. Sci., 2018

Inapproximability results for constrained approximate Nash equilibria.

Argyrios Deligkas, John Fearnley, Rahul Savani

Inf. Comput., 2018

Space Debris Removal: Learning to Cooperate and the Price of Anarchy.

Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Alexander Wittig, Andrei Sapera, Dario Izzo

Frontiers Robotics AI, 2018

End of Potential Line.

John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani

CoRR, 2018

Beyond Local Nash Equilibria for Adversarial Networks.

Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

Market Making via Reinforcement Learning.

Thomas Spooner, John Fearnley, Rahul Savani, Andreas Koukorinis

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Lenient Multi-Agent Deep Reinforcement Learning.

Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

GANGs: Generative Adversarial Network Games.

Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross

CoRR, 2017

Symmetric Decomposition of Asymmetric Games.

Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani, Joel Z. Leibo, Toby Ord, Thore Graepel, Shane Legg

CoRR, 2017

CLS: New Problems and Completeness.

John Fearnley, Spencer Gordon, Ruta Mehta, Rahul Savani

CoRR, 2017

Computing Approximate Nash Equilibria in Polymatrix Games.

Argyrios Deligkas, John Fearnley, Rahul Savani, Paul G. Spirakis

Algorithmica, 2017

Computing Constrained Approximate Equilibria in Polymatrix Games.

Argyrios Deligkas, John Fearnley, Rahul Savani

Proceedings of the Algorithmic Game Theory - 10th International Symposium, 2017

LiftUpp: Support to Develop Learner Performance.

Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

Hedonic Games.

Haris Aziz, Rahul Savani

Proceedings of the Handbook of Computational Social Choice, 2016

Finding Approximate Nash Equilibria of Bimatrix Games via Payoff Queries.

John Fearnley, Rahul Savani

ACM Trans. Economics and Comput., 2016

Space Debris Removal: A Game Theoretic Analysis.

Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo

Games, 2016

Approximate Well-supported Nash Equilibria Below Two-thirds.

John Fearnley, Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen

Algorithmica, 2016

Inapproximability Results for Approximate Nash Equilibria.

Argyrios Deligkas, John Fearnley, Rahul Savani

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

An Empirical Study on Computing Equilibria in Polymatrix Games.

Argyrios Deligkas, John Fearnley, Tobenna Peter Igwe, Rahul Savani

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Learning equilibria of games via payoff queries.

John Fearnley, Martin Gairing, Paul W. Goldberg, Rahul Savani

J. Mach. Learn. Res., 2015

Unit Vector Games.

Rahul Savani, Bernhard von Stengel

CoRR, 2015

Game Theory Explorer: software for the applied game theorist.

Rahul Savani, Bernhard von Stengel

Comput. Manag. Sci., 2015

An Empirical Study of Finding Approximate Equilibria in Bimatrix Games.

John Fearnley, Tobenna Peter Igwe, Rahul Savani

Proceedings of the Experimental Algorithms - 14th International Symposium, 2015

The Complexity of the Simplex Method.

John Fearnley, Rahul Savani

Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

2014

Equilibrium Computation (Dagstuhl Seminar 14342).

Nimrod Megiddo, Kurt Mehlhorn, Rahul Savani, Vijay V. Vazirani

Dagstuhl Reports, 2014

A data rich money market model - agent-based modelling for financial stability.

Paul Devine, Rahul Savani

Proceedings of the 4th International Conference On Simulation And Modeling Methodologies, 2014

Cooperative max games and agent failures.

Yoram Bachrach, Rahul Savani, Nisarg Shah

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Increasing VCG Revenue by Decreasing the Quality of Items.

Mingyu Guo, Argyrios Deligkas, Rahul Savani

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions.

Paul W. Goldberg, Christos H. Papadimitriou, Rahul Savani

ACM Trans. Economics and Comput., 2013

On the approximation performance of fictitious play in finite games.

Paul W. Goldberg, Rahul Savani, Troels Bjerre Sørensen, Carmine Ventre

Int. J. Game Theory, 2013

Polylogarithmic Supports Are Required for Approximate Well-Supported Nash Equilibria below 2/3.

Yogesh Anbalagan, Sergey Norin, Rahul Savani, Adrian Vetta

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

2012

High-Frequency Trading: The Faster, the Better?

Rahul Savani

IEEE Intell. Syst., 2012

2011

Computing stable outcomes in hedonic games with voting-based deviations.

Martin Gairing, Rahul Savani

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Linear Complementarity Algorithms for Infinite Games.

John Fearnley, Marcin Jurdzinski, Rahul Savani

Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010

Computing Stable Outcomes in Hedonic Games.

Martin Gairing, Rahul Savani

Proceedings of the Algorithmic Game Theory - Third International Symposium, 2010

2009

Spanning connectivity games

Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani

CoRR, 2009

Wiretapping a Hidden Network.

Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani

Proceedings of the Internet and Network Economics, 5th International Workshop, 2009

Power Indices in Spanning Connectivity Games.

Haris Aziz, Oded Lachish, Mike Paterson, Rahul Savani

Proceedings of the Algorithmic Aspects in Information and Management, 2009

2008

A Simple P-Matrix Linear Complementarity Problem for Discounted Games.

Marcin Jurdzinski, Rahul Savani

Proceedings of the Logic and Theory of Algorithms, 2008

2004

Exponentially Many Steps for Finding a Nash Equilibrium in a Bimatrix Game.

Rahul Savani, Bernhard von Stengel

Proceedings of the 45th Symposium on Foundations of Computer Science (FOCS 2004), 2004