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Semantic ScholarMilind Tambe
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- affiliation: University of Southern California
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2010 – today
- 2019
[i19]Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe:
Artificial Intelligence for Social Good. CoRR abs/1901.05406 (2019)- 2018
- [c328]Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. AAAI Workshops 2018: 344-347 - [c327]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. AAAI Workshops 2018: 522-529 - [c326]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. AAAI 2018: 841-848 - [c325]Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe:
Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI 2018: 1103-1112 - [c324]Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI 2018: 1290-1297 - [c323]Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Maximizing Influence in an Unknown Social Network. AAAI 2018: 4743-4750 - [c322]Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia:
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI 2018: 7741-7746 - [c321]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Influence Maximization for Social Network Based Substance Abuse Prevention. AAAI 2018: 8139-8140 - [c320]Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe:
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES 2018: 41-47 - [c319]Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu:
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES 2018: 257-263 - [c318]Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel:
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. AAMAS 2018: 823-831 - [c317]Bryan Wilder, Han-Ching Ou, Kayla de la Haye, Milind Tambe:
Optimizing Network Structure for Preventative Health. AAMAS 2018: 841-849 - [c316]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik:
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS 2018: 892-900 - [c315]Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An:
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS 2018: 919-927 - [c314]Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End-to-End Influence Maximization in the Field. AAMAS 2018: 1414-1422 - [c313]Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe:
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS 2018: 1423-1431 - [c312]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the: Modeling Influence Spread in Natural-World Social Networks. AAMAS 2018: 1631-1639 - [c311]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
Inducible Equilibrium for Security Games. AAMAS 2018: 1947-1949 - [c310]Haifeng Xu, Shaddin Dughmi, Milind Tambe, Venil Loyd Noronha:
Mitigating the Curse of Correlation in Security Games by Entropy Maximization. AAMAS 2018: 2127-2129 - [c309]Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe:
Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. CPAIOR 2018: 35-51 - [c308]Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS 2018: 40:1-40:12 - [c307]Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Scaling-Up Stackelberg Security Games Applications Using Approximations. GameSec 2018: 432-452 - [c306]Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos:
Imbalanced Collusive Security Games. GameSec 2018: 583-602 - [c305]Aida Rahmattalabi, Phebe Vayanos, Milind Tambe:
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. GameSec 2018: 603-622 - [c304]Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End to end influence maximization for HIV prevention. AIH@IJCAI 2018: 181-192 - [c303]Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe:
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI 2018: 454-460 - [c302]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. IJCAI 2018: 5399-5403 - [c301]Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe:
Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI 2018: 5494-5501 - [c300]Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI 2018: 5814-5816 - [c299]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. ECML/PKDD (3) 2018: 69-85 - [i18]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. CoRR abs/1809.05504 (2018) - [i17]Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe:
Decentralized dynamic task allocation for UAVs with limited communication range. CoRR abs/1809.07863 (2018) - [i16]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR abs/1811.03823 (2018) - 2017
- [j75]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe:
Every team deserves a second chance: an extended study on predicting team performance. Autonomous Agents and Multi-Agent Systems 31(5): 1003-1054 (2017) - [j74]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux:
PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Magazine 38(1): 23-36 (2017) - [j73]Nicole Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Magazine 38(2): 35-47 (2017) - [j72]Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Predicting poaching for wildlife Protection. IBM Journal of Research and Development 61(6): 3 (2017) - [c298]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. AAAI Fall Symposia 2017: 149-157 - [c297]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. AAMAS 2017: 150-158 - [c296]Debarun Kar, Benjamin J. Ford, Shahrzad Gholami, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. AAMAS 2017: 159-167 - [c295]Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe:
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. AAMAS 2017: 1305-1313 - [c294]Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford:
VIOLA: Video Labeling Application for Security Domains. GameSec 2017: 377-396 - [c293]Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Optimal Patrol Planning for Green Security Games with Black-Box Attackers. GameSec 2017: 458-477 - [c292]Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Influence Maximization with an Unknown Network by Exploiting Community Structure. SocInf@IJCAI 2017: 2-7 - [c291]Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha:
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI 2017: 8-19 - [c290]Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter:
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. IJCAI 2017: 381-387 - [c289]Sara Marie McCarthy, Phebe Vayanos, Milind Tambe:
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. IJCAI 2017: 3770-3776 - [c288]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. IJCAI 2017: 4959-4963 - [c287]Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test. ECML/PKDD (3) 2017: 292-304 - [i15]Haifeng Xu, Milind Tambe, Shaddin Dughmi, Venil Loyd Noronha:
The Curse of Correlation in Security Games and Principle of Max-Entropy. CoRR abs/1703.03912 (2017) - [i14]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks. CoRR abs/1710.00364 (2017) - [i13]Elizabeth Bondi, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Fei Fang, Arvind Iyer, Robert Hannaford:
Video Labeling for Automatic Video Surveillance in Security Domains. CoRR abs/1710.08526 (2017) - [i12]Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Practical Scalability for Stackelberg Security Games. CoRR abs/1711.04208 (2017) - 2016
- [j71]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole Sintov, Milind Tambe, Arnaud Lyet:
Comparing human behavior models in repeated Stackelberg security games: An extended study. Artif. Intell. 240: 65-103 (2016) - [j70]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Magazine 37(2): 47-62 (2016) - [j69]Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe:
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games 7(3): 15 (2016) - [c286]Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe:
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. AAAI 2016: 425-431 - [c285]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux:
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI 2016: 3966-3973 - [c284]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping for Health Interventions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c283]Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion:
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. AAAI 2016: 3880-3886 - [c282]Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Protecting Wildlife under Imperfect Observation. AAAI Workshop: Computer Poker and Imperfect Information Games 2016 - [c281]Nicole Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI 2016: 4107-4112 - [c280]Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI 2016: 4242-4243 - [c279]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe:
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI 2016: 4355-4356 - [c278]Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe:
POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) 2016: 67-87 - [c277]Yundi Qian, Chao Zhang, Bhaskar Krishnamachari, Milind Tambe:
Restless Poachers: Handling Exploration-Exploitation Tradeoffs in Security Domains. AAMAS 2016: 123-131 - [c276]Haifeng Xu, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, Milind Tambe:
Signaling in Bayesian Stackelberg Games. AAMAS 2016: 150-158 - [c275]Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe:
Using Abstractions to Solve Opportunistic Crime Security Games at Scale. AAMAS 2016: 196-204 - [c274]Arunesh Sinha, Debarun Kar, Milind Tambe:
Learning Adversary Behavior in Security Games: A PAC Model Perspective. AAMAS 2016: 214-222 - [c273]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. AAMAS 2016: 740-748 - [c272]Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. AAMAS 2016: 767-775 - [c271]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS 2016: 1439-1440 - [c270]Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole Sintov, Milind Tambe:
SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration). AAMAS 2016: 1498-1500 - [c269]Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe:
HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS 2016: 1504-1506 - [c268]Yasaman Abbasi, Debarun Kar, Nicole Sintov, Milind Tambe, Noam Ben-Asher, Don Morrison, Cleotilde Gonzalez:
Know Your Adversary: Insights for a Better Adversarial Behavioral Model. CogSci 2016 - [c267]Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta:
Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games. ECAI 2016: 1476-1484 - [c266]Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, Milind Tambe:
Toward Addressing Collusion Among Human Adversaries in Security Games. ECAI 2016: 1750-1751 - [c265]Sara Marie McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata:
Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks. GameSec 2016: 39-61 - [c264]Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence, Paul Speer:
Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model. GameSec 2016: 139-158 - [c263]Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole Sintov, Milind Tambe:
Divide to Defend: Collusive Security Games. GameSec 2016: 272-293 - [c262]Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe:
Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI 2016: 308-314 - [c261]Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. IPDPS Workshops 2016: 1831-1838 - [c260]Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe:
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS 2016: 97-108 - [e4]Quanyan Zhu, Tansu Alpcan, Emmanouil A. Panaousis, Milind Tambe, William Casey:
Decision and Game Theory for Security - 7th International Conference, GameSec 2016, New York, NY, USA, November 2-4, 2016, Proceedings. Lecture Notes in Computer Science 9996, Springer 2016, ISBN 978-3-319-47412-0 [contents] - [i11]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty - An Extended Version. CoRR abs/1602.00165 (2016) - [i10]Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Amulya Yadav, Milind Tambe:
Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing. CoRR abs/1608.05701 (2016) - 2015
- [j68]Francesco Maria Delle Fave, Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan:
Efficient solutions for joint activity based security games: fast algorithms, results and a field experiment on a transit system. Autonomous Agents and Multi-Agent Systems 29(5): 787-820 (2015) - [j67]Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang:
From physical security to cybersecurity. J. Cybersecurity 1(1): 19-35 (2015) - [j66]Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs. Multiagent and Grid Systems 11(4): 189-226 (2015) - [c259]Branislav Bosanský, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld:
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies. AAAI 2015: 812-818 - [c258]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole Sintov, Milind Tambe, Arlette van Wissen:
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. AAAI Workshop: Computational Sustainability 2015 - [c257]Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe:
Agents Vote for the Environment: Designing Energy-Efficient Architecture. AAAI Workshop: Computational Sustainability 2015 - [c256]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). AAAI 2015: 4184-4185 - [c255]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c254]Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe:
Exploring Information Asymmetry in Two-Stage Security Games. AAAI 2015: 1057-1063 - [c253]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
Preventing HIV Spread in Homeless Populations Using PSINET. AAAI 2015: 4006-4011 - [c252]Leandro Soriano Marcolino, Haifeng Xu, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Milind Tambe:
Multi-agent Team Formation for Design Problems. COIN@AAMAS/IJCAI 2015: 354-375 - [c251]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Deserves a Second Chance: Identifying when Things Go Wrong. AAMAS 2015: 695-703 - [c250]Yundi Qian, William B. Haskell, Milind Tambe:
Robust Strategy against Unknown Risk-averse Attackers in Security Games. AAMAS 2015: 1341-1349 - [c249]Chao Zhang, Arunesh Sinha, Milind Tambe:
Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals. AAMAS 2015: 1351-1359 - [c248]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole Sintov, Milind Tambe:
"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games. AAMAS 2015: 1381-1390 - [c247]Fei Fang, Peter Stone, Milind Tambe:
Defender Strategies In Domains Involving Frequent Adversary Interaction. AAMAS 2015: 1663-1664 - [c246]Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe:
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration). AAMAS 2015: 1909-1910 - [c245]Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, Milind Tambe:
Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration). AAMAS 2015: 1911-1912 - [c244]Thanh Hong Nguyen, Milind Tambe:
A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium). AAMAS 2015: 1963-1964 - [c243]Leandro Soriano Marcolino, Milind Tambe:
Three Fundamental Pillars of Multi-agent Team Formation. AAMAS 2015: 1967-1968 - [c242]Benjamin J. Ford, Thanh Hong Nguyen, Milind Tambe, Nicole Sintov, Francesco Maria Delle Fave:
Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games. GameSec 2015: 35-56 - [c241]Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba:
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec 2015: 170-191 - [c240]Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe:
Security Games with Information Leakage: Modeling and Computation. IJCAI 2015: 674-680 - [c239]Fei Fang, Peter Stone, Milind Tambe:
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. IJCAI 2015: 2589-2595 - [i9]Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe:
Security Games With Information Leakage: Modeling and Computation. CoRR abs/1504.06058 (2015) - [i8]Arunesh Sinha, Debarun Kar, Milind Tambe:
Learning Adversary Behavior in Security Games: A PAC Model Perspective. CoRR abs/1511.00043 (2015) - 2014
- [j65]Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe:
An extended study on multi-objective security games. Autonomous Agents and Multi-Agent Systems 28(1): 31-71 (2014) - [j64]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood:
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility. Autonomous Agents and Multi-Agent Systems 28(4):