| Towards flexible teamwork M Tambe Journal of artificial intelligence research 7, 83-124, 1997 | 1507 | 1997 |
| Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ... arXiv preprint arXiv:2211.06318, 2022 | 1330 | 2022 |
| ADOPT: Asynchronous distributed constraint optimization with quality guarantees PJ Modi, WM Shen, M Tambe, M Yokoo Artificial Intelligence 161 (1-2), 149-180, 2005 | 1185 | 2005 |
| The belief-desire-intention model of agency M Georgeff, B Pell, M Pollack, M Tambe, M Wooldridge International workshop on agent theories, architectures, and languages, 1-10, 1998 | 1088 | 1998 |
| Security and game theory: algorithms, deployed systems, lessons learned M Tambe Cambridge university press, 2011 | 1029 | 2011 |
| Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening DB Larremore, B Wilder, E Lester, S Shehata, JM Burke, JA Hay, ... Science advances 7 (1), eabd5393, 2021 | 965 | 2021 |
| Playing games for security: An efficient exact algorithm for solving Bayesian Stackelberg games P Paruchuri, JP Pearce, J Marecki, M Tambe, F Ordonez, S Kraus Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 666 | 2008 |
| Deployed armor protection: the application of a game theoretic model for security at the los angeles international airport J Pita, M Jain, J Marecki, F Ordóñez, C Portway, M Tambe, C Western, ... Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 595 | 2008 |
| The communicative multiagent team decision problem: Analyzing teamwork theories and models DV Pynadath, M Tambe Journal of artificial intelligence research 16, 389-423, 2002 | 591 | 2002 |
| Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings R Nair, M Tambe, M Yokoo, D Pynadath, S Marsella IJCAI 3, 705-711, 2003 | 577 | 2003 |
| Coordinating occupant behavior for building energy and comfort management using multi-agent systems L Klein, J Kwak, G Kavulya, F Jazizadeh, B Becerik-Gerber, ... Automation in construction 22, 525-536, 2012 | 518 | 2012 |
| Computing optimal randomized resource allocations for massive security games C Kiekintveld, M Jain, J Tsai, J Pita, F Ordónez, M Tambe | 517 | 2009 |
| Distributed sensor networks: A multiagent perspective V Lesser, CL Ortiz, M Tambe Springer Science & Business Media, 2003 | 511 | 2003 |
| The RoboCup synthetic agent challenge 97 H Kitano, M Tambe, P Stone, M Veloso, S Coradeschi, E Osawa, ... Robot Soccer World Cup, 62-73, 1997 | 511 | 1997 |
| Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization B Wilder, B Dilkina, M Tambe Proceedings of the AAAI conference on artificial intelligence 33 (01), 1658-1665, 2019 | 478 | 2019 |
| Intelligent agents for interactive simulation environments M Tambe, WL Johnson, RM Jones, F Koss, JE Laird, PS Rosenbloom, ... AI magazine 16 (1), 15-15, 1995 | 468 | 1995 |
| Taking DCOP to the real world: Efficient complete solutions for distributed event scheduling R Maheswaran, M Tambe, E Bowring, J Pearce, P Varakantham IEEE Computer Society, 2004 | 432 | 2004 |
| Protect: A deployed game theoretic system to protect the ports of the united states E Shieh, B An, R Yang, M Tambe, C Baldwin, J DiRenzo, B Maule, ... Proceedings of the 11th international conference on autonomous agents and …, 2012 | 377 | 2012 |
| Stackelberg vs. Nash in security games: An extended investigation of interchangeability, equivalence, and uniqueness D Korzhyk, Z Yin, C Kiekintveld, V Conitzer, M Tambe Journal of Artificial Intelligence Research 41, 297-327, 2011 | 374 | 2011 |
| Networked distributed POMDPs: A synthesis of distributed constraint optimization and POMDPs R Nair, P Varakantham, M Tambe, M Yokoo AAAI 5, 133-139, 2005 | 364 | 2005 |
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
