| R-max-a general polynomial time algorithm for near-optimal reinforcement learning RI Brafman, M Tennenholtz Journal of Machine Learning Research 3 (Oct), 213-231, 2002 | 1390 | 2002 |
| On social laws for artificial agent societies: off-line design Y Shoham, M Tennenholtz Artificial intelligence 73 (1-2), 231-252, 1995 | 744 | 1995 |
| On the synthesis of useful social laws for artificial agent societies (preliminary report) Y Shoham, M Tennenholtz AAAI, 276-281, 1992 | 553 | 1992 |
| Approximate mechanism design without money AD Procaccia, M Tennenholtz ACM Transactions on Economics and Computation (TEAC) 1 (4), 1-26, 2013 | 417 | 2013 |
| On the emergence of social conventions: modeling, analysis, and simulations Y Shoham, M Tennenholtz Artificial Intelligence 94 (1-2), 139-166, 1997 | 393 | 1997 |
| Trust-based recommendation systems: an axiomatic approach R Andersen, C Borgs, J Chayes, U Feige, A Flaxman, A Kalai, V Mirrokni, ... Proceedings of the 17th international conference on World Wide Web, 199-208, 2008 | 291 | 2008 |
| Adaptive load balancing: A study in multi-agent learning A Schaerf, Y Shoham, M Tennenholtz Journal of artificial intelligence research 2, 475-500, 1994 | 279 | 1994 |
| Ranking systems: the PageRank axioms A Altman, M Tennenholtz Proceedings of the 6th ACM conference on Electronic commerce, 1-8, 2005 | 251 | 2005 |
| An algorithm for multi-unit combinatorial auctions K Leyton-Brown, Y Shoham, M Tennenholtz Aaai/iaai, 56-61, 2000 | 204 | 2000 |
| Artificial social systems Y Moses, M Tennenholtz Comput. Artif. Intell. 14 (6), 533-562, 1995 | 201 | 1995 |
| Emergent conventions in multi-agent systems: initial experimental results and observations (preliminary report) Y Shoham, M Tennenholtz Proceedings of the Third International Conference on Principles of Knowledge …, 1992 | 179 | 1992 |
| Bundling equilibrium in combinatorial auctions R Holzman, N Kfir-Dahav, D Monderer, M Tennenholtz Games and Economic Behavior 47 (1), 104-123, 2004 | 158 | 2004 |
| Approximately optimal mechanism design via differential privacy K Nissim, R Smorodinsky, M Tennenholtz Proceedings of the 3rd innovations in theoretical computer science …, 2012 | 153 | 2012 |
| Choosing social laws for multi-agent systems: Minimality and simplicity D Fitoussi, M Tennenholtz Artificial Intelligence 119 (1-2), 61-101, 2000 | 148 | 2000 |
| Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system E Yom-Tov, G Feraru, M Kozdoba, S Mannor, M Tennenholtz, I Hochberg Journal of medical Internet research 19 (10), e338, 2017 | 144 | 2017 |
| Signaling schemes for revenue maximization Y Emek, M Feldman, I Gamzu, R PaesLeme, M Tennenholtz ACM Transactions on Economics and Computation (TEAC) 2 (2), 1-19, 2014 | 143 | 2014 |
| A note on competitive diffusion through social networks N Alon, M Feldman, AD Procaccia, M Tennenholtz Information Processing Letters 110 (6), 221-225, 2010 | 135 | 2010 |
| Some tractable combinatorial auctions M Tennenholtz AAAI/IAAI, 98-103, 2000 | 134 | 2000 |
| Program equilibrium M Tennenholtz Games and Economic Behavior 49 (2), 363-373, 2004 | 129 | 2004 |
| Enhanced auction mechanism for online transactions P La Mura, M Tennenholtz, Y Shoham US Patent 7,058,602, 2006 | 128 | 2006 |
Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairVerified email at cs.ubc.ca
