| Title | Author | Published At |
|---|---|---|
| Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies | B. Bosansky, A. Jiang, M. Tambe, C. Kiekintveld | AAAI conference on Artificial Intelligence (AAAI) |
| Multi-agent Team Formation: Solving Complex Problems by Aggregating Opinions | L. S. Marcolino | Conference on Artificial Intelligence (AAAI 2015), Texas, USA, January 2015. (Doctoral Consortium) |
| Exploring Information Asymmetry in Two-Stage Security Games | H. Xu, Z. Rabinovich, S. Dughmi and M. Tambe | AAAI Conference on Artificial Intelligence (AAAI) |
| PSINET - An Online POMDP Solver for HIV Prevention in Homeless Populations | Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael | In AAAI-15 Workshop on Planning, Search, and Optimization (PlanSOpt-15) |
| Robust Resource Allocation in Security Games and Ensemble Modeling of Adversary Behavior | Arjun Tambe and Thanh Nguyen | ACM Symposium on Applied Computing (ACM SAC 2015) Track on Intelligent Robotics and Multi-Agent Systems (IRMAS) |
| Preventing HIV Spread in Homeless Populations Using PSINET | Amulya Yadav, Leandro Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael | Conference on Innovative Applications of Artificial Intelligence (IAAI-15) |
| Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report | D. Kar, F. Fang, F. Delle Fave, N. Sintov, M. Tambe, A. Van Wissen | Computational Sustainability Workshop at AAAI15, Texas, Austin |
| Every team deserves a second chance: Identifying when things go wrong | V. Nagarajan, L. S. Marcolino, M. Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Every team deserves a second chance: Identifying when things go wrong (Student Abstract Version) | V. Nagarajan, L. S. Marcolino, M. Tambe | Conference on Artificial Intelligence (AAAI 2015), Texas, USA |
| Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork | V. Nagarajan, L. S. Marcolino, M. Tambe | AAAI Workshop Learning for General Competency in Video Games (AAAI 2015), Texas, USA |
| A Game of Thrones: When Human Behavior Models Compete in Repeated Stackelberg Security Games | Debarun Kar, Fei Fang, Francesco Delle Fave , Nicole Sintov, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Robust Strategy against Unknown Risk-averse Attackers in Security Games | Yundi Qian, William B. Haskell, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Keeping pace with criminals: Designing patrol allocation against adaptive opportunistic criminals | Chao Zhang, Arunesh Sinha, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Defender Strategies In Domains Involving Frequent Adversary Interaction (Extended Abstract) | Fei Fang, Peter Stone, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Keeping pace with criminals: Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration) | Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, Milind Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration) | L. S. Marcolino, V. Nagarajan, M. Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Three Fundamental Pillars of Multi-agent Team Formation (Doctoral Consortium) | L. S. Marcolino, M. Tambe | International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| A Multi-Agent Systems for Design Simulation Framework: Experiments with Virtual-Physical-Social Feedback for Architecture | D. J. Gerber, E. Pantazis, L. S. Marcolino, A. Heydarian | Symposium on Simulation for Architecture and Urban Design (SimAUD 2015) |
| Not a Lone Ranger: Unleashing Defender Teamwork in Security Games | Eric Shieh | PhD thesis |
| Human Adversaries in Opportunistic Crime Security Games: Evaluating Competing Bounded Rationality Models | Yasaman Dehghani Abbasi, Martin Short, Arunesh Sinha, Nicole Sintov, Chao Zhang, Milind Tambe | Conference on Advances in Cognitive Systems |
| When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing | Fei Fang, Peter Stone, Milind Tambe | International Joint Conference on Artificial Intelligence (IJCAI) |
| Security Games with Information Leakage: Modeling and Computation | Haifeng Xu, Albert X. Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe | International Joint Conference on Artificial Intelligence (IJCAI 2015) |
| Balancing Tradeoffs in Security Games: Handling Defenders and Adversaries with Multiple Objectives | Matthew Brown | PhD thesis |
| Conducting Longitudinal Experiments with Behavioral Models in Repeated Stackelberg Security Games on Amazon Mechanical Turk | Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, Milind Tambe | Human-Agent Interaction Design and Models (HAIDM) Workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| PSINET: Aiding HIV Prevention Amongst Homeless Youth by Planning Ahead | Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael | AI Magazine |
| Unleashing the Power of Multi-agent Voting Teams (Doctoral Consortium) | L. S. Marcolino, M. Tambe | International Joint Conference on Artificial Intelligence (IJCAI 2015) |
| Introduction to Green Security Games (Extended Abstract) | Fei Fang, Thanh Nguyen, Benjamin Ford, Nicole Sintov, Milind Tambe | Workshop on Cognitive Knowledge Acquisition and Applications (IJCAI 2015) |
| Human Adversaries in Opportunistic Crime Security Games: How Past success (or failure) affects future behavior | Dehghani Abbasi Y., Short M., Sinha A., Sintov N., Zhang Ch., Tambe M. | Workshop on Behavioral, Economic and Computational Intelligence for Security (IJCAI) |
| Design Agency: Prototyping Multi-Agent Systems in Architecture | D. J. Gerber, E. Pantazis, L. S. Marcolino | CAAD Futures Conference |
| Agents vote for the environment: Designing energy-efficient architecture | L. S. Marcolino, D. Gerber, B. Kolev, S. Price, E. Pantazis, Y. Tian, M. Tambe | Workshop on Computational Sustainability (AAAI 2015) |
| Agent Teams for Design Problems | L. S. Marcolino, H. Xu, D. Gerber, B. Kolev, S. Price, E. Pantazis, M. Tambe | International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2015) |
| The Power of Teams that Disagree: Team Formation in Large Action Spaces | L. S. Marcolino, H. Xu, A. X. Jiang, M. Tambe, E. Bowring | Coordination, Organizations, Institutions and Norms in Agent Systems X. Springer-Verlag Lecture Notes in AI, 2015 |
| Every Team Makes Mistakes, in Large Action Spaces | L. S. Marcolino, V. Nagarajan, M. Tambe | Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2015) |
| An extensive study of Dynamic Bayesian Network for patrol allocation against adaptive opportunistic criminals | Shahrzad Gholami, Chao Zhang, Arunesh Sinha, Milind Tambe | IJCAI'15 Workshop on Behavioral, Economic and Computational Intelligence for Security (BECIS) |
| Making the most of Our Regrets: Regret-based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games | Thanh H. Nguyen, Francesco M. Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba | Conference on Decision and Game Theory for Security |
| Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games | Benjamin Ford, Thanh Nguyen, Milind Tambe, Nicole Sintov, Francesco Delle Fave | Conference on Decision and Game Theory for Security |
| Learning Bounded Rationality Models of the Adversary in Repeated Stackelberg Security Games | Debarun Kar, Fei Fang, Francesco Delle Fave, Nicole Sintov, Arunesh Sinha, Aram Galstyan, Bo An, Milind Tambe | Adaptive and Learning Agents Workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015) |
| Handling Payoff Uncertainty with Adversary Bounded Rationality in Green Security Domains | Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain, Widodo Ramono, Timbul Batubara. | In IJCAI-15 Workshop on Algorithmic Game Theory (AGT-15) |
| Handling Payoff Uncertainty in Green Security Domains with Adversary Bounded Rationality | Amulya Yadav, Thanh Nguyen, Francesco Delle Fave, Milind Tambe, Noa Agmon, Manish Jain, Widodo Ramono, Timbul Batubara. | In IJCAI-15 Workshop on Behavioral, Economic and Computational Intelligence for Security (BECIS-15) |
| From Physical Security to Cyber Security | A. Sinha, T.H. Nguyen, D. Kar, M. Brown, M. Tambe, A. X. Jiang | Journal of Cybersecurity |
| Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs | Yue Yin, Haifeng Xu, Jiarui Gan, Bo An, Albert X. Jiang | International Joint Conference on Artificial Intelligence (IJCAI) |
| Information Disclosure as a Means to Security | Zinovi Rabinovich,Albert X. Jiang, Manish Jain,Haifeng Xu | International Conference on Autonomous Agents and Multiagent Systems (AAMAS) |
