Milind Tambe

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Christopher KiekintveldUniversity of Texas at El PasoVerificeret mail på utep.edu
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityVerificeret mail på andrew.cmu.edu
Fernando OrdonezIndustrial Engineering, Universidad de ChileVerificeret mail på dii.uchile.cl
Fei FangCarnegie Mellon UniversityVerificeret mail på cmu.edu
Pradeep VarakanthamProfessor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing andVerificeret mail på smu.edu.sg
Sarit KrausProfessor Of Computer Science, Bar-Ilan UniversityVerificeret mail på cs.biu.ac.il
David V. PynadathRice University, Ken Kennedy InstituteVerificeret mail på rice.edu
Janusz MareckiDeepMindVerificeret mail på google.com
Makoto YokooKyushu UniversityVerificeret mail på inf.kyushu-u.ac.jp
Bo AnNanyang Technological UniversityVerificeret mail på ntu.edu.sg
Arunesh SinhaRutgers UniversityVerificeret mail på rutgers.edu
Eric RiceAssociate Professor of Social Work, University of Southern CaliforniaVerificeret mail på usc.edu
Paul ScerriAssociate Research Professor, Carnegie Mellon UniversityVerificeret mail på cs.cmu.edu
Stacy MarsellaNortheastern UniversityVerificeret mail på ccs.neu.edu
Zhengyu YinComputer Science USCVerificeret mail på usc.edu
Thanh NguyenComputer Science, University of OregonVerificeret mail på cs.uoregon.edu
Ranjit NairCEO, Germin8Verificeret mail på germin8.com
Rong YangMember of Research Staff, Palo Alto Research CenterVerificeret mail på parc.com
Jason TsaiUniversity of Southern CaliforniaVerificeret mail på usc.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCVerificeret mail på usc.edu

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Milind Tambe

Professor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google Research

Verificeret mail på harvard.edu - Startside

Multiagent Systems Artificial Intelligence AI for Social Good AI for Public Health AI for Conservation


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Towards flexible teamwork M Tambe Journal of artificial intelligence research 7, 83-124, 1997	1465	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	1186	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	1166	2005
The belief-desire-intention model of agency M Georgeff, B Pell, M Pollack, M Tambe, M Wooldridge Intelligent Agents V: Agents Theories, Architectures, and Languages: 5th …, 1999	1037	1999
Security and game theory: algorithms, deployed systems, lessons learned M Tambe Cambridge university press, 2011	952	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	905	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	638	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	579	2002
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	563	2008
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	551	2003
The RoboCup synthetic agent challenge 97 H Kitano, M Tambe, P Stone, M Veloso, S Coradeschi, E Osawa, ... RoboCup-97: Robot Soccer World Cup I 1, 62-73, 1998	502	1998
Distributed sensor networks: A multiagent perspective V Lesser, CL Ortiz, M Tambe Springer Science & Business Media, 2003	491	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	490	2012
Computing optimal randomized resource allocations for massive security games C Kiekintveld, M Jain, J Tsai, J Pita, F Ordónez, M Tambe	485	2009
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	461	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	429	2004
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	366	2019
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	363	2012
Networked distributed POMDPs: A synthesis of distributed constraint optimization and POMDPs R Nair, P Varakantham, M Tambe, M Yokoo AAAI 5, 133-139, 2005	356	2005
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	354	2011

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