Rahul Savani
Rahul Savani
Professor of Computer Science, University of Liverpool
Verified email at - Homepage
Cited by
Cited by
Lenient Multi-Agent Deep Reinforcement Learning
G Palmer, K Tuyls, D Bloembergen, R Savani
17th Int. Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS), 443-451, 2018
Hard‐to‐solve bimatrix games
R Savani, B von Stengel
Econometrica 74 (2), 397-429, 2006
Exponentially many steps for finding a Nash equilibrium in a bimatrix game
R Savani, B von Stengel
45th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 258-267, 2004
Hedonic games
H Aziz, R Savani
Handbook of Computational Social Choice, 136-139, 2016
Enumeration of Nash equilibria for two-player games
D Avis, GD Rosenberg, R Savani, B von Stengel
Economic Theory 42 (1), 9-37, 2010
Market Making via Reinforcement Learning
T Spooner, J Fearnley, R Savani, A Koukorinis
17th Int. Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS), 434-442, 2018
Computing stable outcomes in hedonic games
M Gairing, R Savani
International Symposium on Algorithmic Game Theory (SAGT), 174-185, 2010
Learning equilibria of games via payoff queries
J Fearnley, M Gairing, PW Goldberg, R Savani
The Journal of Machine Learning Research 16 (1), 1305-1344, 2015
Mixed-species aggregations in birds: zenaida doves, Zenaida aurita, respond to the alarm calls of carib grackles, Quiscalus lugubris
AS Griffin, R Savani, K Hausmanis, L Lefebvre
Animal Behaviour 70 (3), 507-515, 2005
The complexity of the homotopy method, equilibrium selection, and Lemke-Howson solutions
PW Goldberg, CH Papadimitriou, R Savani
ACM Transactions on Economics and Computation 1 (2), 9, 2013
Unique end of potential line
J Fearnley, S Gordon, R Mehta, R Savani
Journal of Computer and System Sciences 114, 1-35, 2020
The Complexity of Gradient Descent: CLS= PPAD ∩ PLS
J Fearnley, P Goldberg, A Hollender, R Savani
Journal of the ACM 70 (1), 2023
The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning
J Castellini, FA Oliehoek, R Savani, S Whiteson
18th Int. Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS), 1862-1864, 2019
Game Theory Explorer: software for the applied game theorist
R Savani, B von Stengel
Computational Management Science 12 (1), 5-33, 2015
Power indices in spanning connectivity games
H Aziz, O Lachish, M Paterson, R Savani
Int. Conf. on Algorithmic Applications in Management (AAIM), 55-67, 2009
Computing approximate Nash equilibria in polymatrix games
A Deligkas, J Fearnley, R Savani, P Spirakis
Algorithmica 77 (2), 487-514, 2017
Robust market making via adversarial reinforcement learning
T Spooner, R Savani
29th International Joint Conference on Artificial Intelligence (IJCAI), 4590 …, 2020
Symmetric decomposition of asymmetric games
K Tuyls, J Pérolat, M Lanctot, G Ostrovski, R Savani, JZ Leibo, T Ord, ...
Scientific reports 8 (1), 1-20, 2018
GANGs: Generative Adversarial Network Games
FA Oliehoek, R Savani, J Gallego-Posada, E van der Pol, ED de Jong, ...
arXiv preprint arXiv:1712.00679, 2017
Approximate well-supported Nash equilibria below two-thirds
J Fearnley, PW Goldberg, R Savani, TB Sørensen
Algorithmica 76 (2), 297-319, 2016
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