| 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 | 213 | 2018 |
| Hedonic games H Aziz, R Savani Handbook of Computational Social Choice, 136-139, 2016 | 181 | 2016 |
| Hard‐to‐solve bimatrix games R Savani, B von Stengel Econometrica 74 (2), 397-429, 2006 | 172 | 2006 |
| Enumeration of Nash equilibria for two-player games D Avis, GD Rosenberg, R Savani, B von Stengel Economic Theory 42 (1), 9-37, 2010 | 161 | 2010 |
| 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 | 158 | 2004 |
| 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 | 141* | 2018 |
| The Complexity of Gradient Descent: CLS= PPAD ∩ PLS J Fearnley, P Goldberg, A Hollender, R Savani Journal of the ACM 70 (1), 2023 | 87 | 2023 |
| Computing stable outcomes in hedonic games M Gairing, R Savani International Symposium on Algorithmic Game Theory (SAGT), 174-185, 2010 | 82 | 2010 |
| 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 | 75 | 2005 |
| Learning equilibria of games via payoff queries J Fearnley, M Gairing, PW Goldberg, R Savani The Journal of Machine Learning Research (JMLR) 16 (1), 1305-1344, 2015 | 74 | 2015 |
| The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions PW Goldberg, CH Papadimitriou, R Savani ACM Transactions on Economics and Computation (TEAC) 1 (2), 9, 2013 | 69 | 2013 |
| Unique end of potential line J Fearnley, S Gordon, R Mehta, R Savani Journal of Computer and System Sciences (JCSS) 114, 1-35, 2020 | 64 | 2020 |
| 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 | 58 | 2019 |
| Robust market making via adversarial reinforcement learning T Spooner, R Savani 29th International Joint Conference on Artificial Intelligence (IJCAI), 4590 …, 2020 | 57 | 2020 |
| Computing approximate Nash equilibria in polymatrix games A Deligkas, J Fearnley, R Savani, P Spirakis Algorithmica 77 (2), 487-514, 2017 | 52 | 2017 |
| Game Theory Explorer: software for the applied game theorist R Savani, B von Stengel Computational Management Science 12 (1), 5-33, 2015 | 52 | 2015 |
| 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 | 51 | 2018 |
| 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 | 49 | 2009 |
| The Complexity of the Simplex Method J Fearnley, R Savani 47th ACM Symposium on Theory of Computing (STOC), 201-208, 2015 | 44 | 2015 |
| Beyond local Nash equilibria for adversarial networks FA Oliehoek, R Savani, J Gallego, E van der Pol, R Groß Benelux Conference on Artificial Intelligence, 73-89, 2018 | 43 | 2018 |
