Seguir
Rahul Savani
Rahul Savani
Professor of Computer Science, University of Liverpool
Email confirmado em liverpool.ac.uk - Página inicial
Título
Citado por
Citado por
Ano
Hard‐to‐Solve Bimatrix Games
R Savani, B von Stengel
Econometrica 74 (2), 397-429, 2006
1582006
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
1532018
Exponentially many steps for finding a Nash equilibrium in a bimatrix game
R Savani, B von Stengel
45th IEEE Symposium on Foundations of Computer Science (FOCS), 258-267, 2004
1512004
Enumeration of Nash equilibria for two-player games
D Avis, GD Rosenberg, R Savani, B von Stengel
Economic Theory 42 (1), 9-37, 2010
1292010
Hedonic games
H Aziz, R Savani
Handbook of Computational Social Choice, 136-139, 2016
1232016
Computing stable outcomes in hedonic games
M Gairing, R Savani
International Symposium on Algorithmic Game Theory (SAGT), 174-185, 2010
732010
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
692005
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
662018
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
622013
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
612015
Unique end of potential line
J Fearnley, S Gordon, R Mehta, R Savani
Journal of Computer and System Sciences 114, 1-35, 2020
42*2020
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
412009
Computing approximate Nash equilibria in polymatrix games
A Deligkas, J Fearnley, R Savani, P Spirakis
Algorithmica 77 (2), 487-514, 2017
392017
Game Theory Explorer: software for the applied game theorist
R Savani, B von Stengel
Computational Management Science 12 (1), 5-33, 2015
392015
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
372019
Approximate well-supported Nash equilibria below two-thirds
J Fearnley, PW Goldberg, R Savani, TB Sørensen
Algorithmica 76 (2), 297-319, 2016
372016
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
322018
Finding approximate Nash equilibria of bimatrix games via payoff queries
J Fearnley, R Savani
ACM Transactions on Economics and Computation (TEAC) 4 (4), 25, 2016
322016
Inapproximability results for constrained approximate Nash equilibria
A Deligkas, J Fearnley, R Savani
Information and Computation 262, 40-56, 2018
31*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
312017
O sistema não pode efectuar a operação agora. Tente novamente mais tarde.
Artigos 1–20