Milind Tambe

Affiliations: 
Computer Science: Doctor of Philosophy University of Southern California, Los Angeles, CA, United States 
Area:
Computer Science, Artificial Intelligence
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"Milind Tambe"

Parents

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Allen Newell grad student Carnegie Mellon (Neurotree)

Children

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Amulya Yadav grad student (Physics Tree)
Gal A. Kaminka grad student 2000 USC
Hyuckchul Jung grad student 2003 USC
Ranjit Nair grad student 2004 USC
Emma Bowring grad student 2007 USC
Praveen Paruchuri grad student 2007 USC
Jonathan P. Pearce grad student 2007 USC
Nathan Schurr grad student 2007 USC
Pradeep Varakantham grad student 2007 USC
Janusz Marecki grad student 2008 USC
James Pita grad student 2012 USC
Jun-young Kwak grad student 2013 USC
Zhengyu Yin grad student 2013 USC
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Publications

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Shieh E, Jiang AX, Yadav A, et al. (2016) An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs Multiagent and Grid Systems. 11: 189-226
Zhang C, Tambe M. (2015) Modeling, learning and defending against opportunistic criminals in urban areas (doctoral consortium) Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1971-1972
Qian Y, Tambe M. (2015) To handle, to learn and to manipulate the attacker's (uncertain) payoffs in security games (doctoral consortium) Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1961-1962
Marcolino LS, Tambe M. (2015) Three Fundamental Pillars of Multi-agent Team Formation (Doctoral Consortium) Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1967-1968
Marcolino LS, Tambe M. (2015) Unleashing the power of multi-agent voting teams Ijcai International Joint Conference On Artificial Intelligence. 2015: 4399-4400
Nguyen TH, Tambe M. (2015) A unifying methodology for confronting uncertainties in security games: Advances and algorithms (doctoral consortium) Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1963-1964
Bošanský B, Jiang AX, Tambe M, et al. (2015) Combining compact representation and incremental generation in large games with sequential strategies Proceedings of the National Conference On Artificial Intelligence. 2: 812-818
Fang F, Stone P, Tambe M. (2015) When security games go green: Designing defender strategies to prevent poaching and illegal fishing Ijcai International Joint Conference On Artificial Intelligence. 2015: 2589-2595
Fang F, Stone P, Tambe M. (2015) Defender strategies in domains involving frequent adversary interaction Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 3: 1663-1664
Nagarajan V, Marcolino LS, Tambe M. (2015) Every team deserves a second chance: Identifying when things go wrong Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 2: 695-703
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