Milind Tambe

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Christopher KiekintveldUniversity of Texas at El PasoPatvirtintas el. paštas utep.edu
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Fernando OrdonezIndustrial Engineering, Universidad de ChilePatvirtintas el. paštas dii.uchile.cl
Fei FangCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Pradeep VarakanthamProfessor of Computer Science, Lee Kuan Yew Fellow, Director of CARE.AI lab, School of Computing andPatvirtintas el. paštas smu.edu.sg
Sarit KrausProfessor Of Computer Science, Bar-Ilan UniversityPatvirtintas el. paštas cs.biu.ac.il
David V. PynadathUniversity of Southern California Institute for Creative TechnologiesPatvirtintas el. paštas usc.edu
Janusz MareckiDeepMindPatvirtintas el. paštas google.com
Makoto YokooKyushu UniversityPatvirtintas el. paštas inf.kyushu-u.ac.jp
Bo AnNanyang Technological UniversityPatvirtintas el. paštas ntu.edu.sg
Arunesh SinhaRutgers UniversityPatvirtintas el. paštas rutgers.edu
Eric RiceAssociate Professor of Social Work, University of Southern CaliforniaPatvirtintas el. paštas usc.edu
Paul ScerriAssociate Research Professor, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Stacy MarsellaNortheastern UniversityPatvirtintas el. paštas ccs.neu.edu
Zhengyu YinComputer Science USCPatvirtintas el. paštas usc.edu
Thanh NguyenComputer Science, University of OregonPatvirtintas el. paštas cs.uoregon.edu
Ranjit NairCEO, Germin8Patvirtintas el. paštas germin8.com
Rong YangMember of Research Staff, Palo Alto Research CenterPatvirtintas el. paštas parc.com
Jason TsaiUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCPatvirtintas el. paštas usc.edu

Stebėti

Milind Tambe

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

Patvirtintas el. paštas harvard.edu - Pagrindinis puslapis

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


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1156	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	943	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	888	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	631	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	574	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	543	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	488	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	457	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
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
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	350	2019
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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