Milind Tambe

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119 artykułów

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Christopher KiekintveldUniversity of Texas at El PasoZweryfikowany adres z utep.edu
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Fernando OrdonezIndustrial Engineering, Universidad de ChileZweryfikowany adres z dii.uchile.cl
Fei FangCarnegie Mellon UniversityZweryfikowany adres z cmu.edu
Pradeep VarakanthamProfessor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing andZweryfikowany adres z smu.edu.sg
Sarit KrausProfessor Of Computer Science, Bar-Ilan UniversityZweryfikowany adres z cs.biu.ac.il
David V. PynadathUniversity of Southern California Institute for Creative TechnologiesZweryfikowany adres z usc.edu
Janusz MareckiDeepMindZweryfikowany adres z google.com
Makoto YokooKyushu UniversityZweryfikowany adres z inf.kyushu-u.ac.jp
Bo AnNanyang Technological UniversityZweryfikowany adres z ntu.edu.sg
Arunesh SinhaRutgers UniversityZweryfikowany adres z rutgers.edu
Eric RiceAssociate Professor of Social Work, University of Southern CaliforniaZweryfikowany adres z usc.edu
Paul ScerriAssociate Research Professor, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Stacy MarsellaNortheastern UniversityZweryfikowany adres z ccs.neu.edu
Zhengyu YinComputer Science USCZweryfikowany adres z usc.edu
Thanh NguyenComputer Science, University of OregonZweryfikowany adres z cs.uoregon.edu
Ranjit NairCEO, Germin8Zweryfikowany adres z germin8.com
Rong YangMember of Research Staff, Palo Alto Research CenterZweryfikowany adres z parc.com
Jason TsaiUniversity of Southern CaliforniaZweryfikowany adres z usc.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCZweryfikowany adres z usc.edu

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Milind Tambe

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

Zweryfikowany adres z harvard.edu - Strona główna

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


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Towards flexible teamwork M Tambe Journal of artificial intelligence research 7, 83-124, 1997	1465	1997
ADOPT: Asynchronous distributed constraint optimization with quality guarantees PJ Modi, WM Shen, M Tambe, M Yokoo Artificial Intelligence 161 (1-2), 149-180, 2005	1161	2005
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	1158	2022
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	1028	1999
Security and game theory: algorithms, deployed systems, lessons learned M Tambe Cambridge university press, 2011	944	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	889	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	633	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	575	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	556	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	544	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	500	1998
Distributed sensor networks: A multiagent perspective V Lesser, CL Ortiz, M Tambe Springer Science & Business Media, 2003	490	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	487	2012
Computing optimal randomized resource allocations for massive security games C Kiekintveld, M Jain, J Tsai, J Pita, F Ordónez, M Tambe	483	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	458	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	426	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	358	2012
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	353	2019
Networked distributed POMDPs: A synthesis of distributed constraint optimization and POMDPs R Nair, P Varakantham, M Tambe, M Yokoo AAAI 5, 133-139, 2005	352	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	345	2011

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