Tambe, Milind

156 publications

NeurIPS 2025 Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson

NeurIPS 2025 Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data Lingkai Kong, Haichuan Wang, Tonghan Wang, Guojun Xiong, Milind Tambe

AAAI 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson

AAAI 2025 Evaluating Index-Based Treatment Allocation in Underresourced Communities Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe

MLHC 2025 Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health Arpan Dasgupta, Mizhaan Prajit Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja

ICML 2025 Navigating the Social Welfare Frontier: Portfolios for Multi-Objective Reinforcement Learning Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta

AAAI 2025 Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe

AAAI 2025 PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe

ICLR 2025 Reinforcement Learning with Combinatorial Actions for Coupled Restless Bandits Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe

UAI 2025 Robust Optimization with Diffusion Models for Green Security Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe

AAAI 2025 The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe

UAI 2025 What Is the Right Notion of Distance Between Predict-Then-Optimize Tasks? Paula Rodriguez-Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe

NeurIPS 2024 A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

NeurIPSW 2024 Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe

UAI 2024 Group Fairness in Predict-Then-Optimize Settings for Restless Bandits Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe

AAAI 2024 Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja

AAAI 2024 Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe

ICML 2024 Position: Application-Driven Innovation in Machine Learning David Rolnick, Alan Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White

ICML 2024 Position: Social Environment Design Should Be Further Developed for AI-Based Policy-Making Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen

NeurIPSW 2024 Prioritization Strategies for LLM-Designed Restless Bandit Rewards in Public Health Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe

IJCAI 2024 Towards a Pretrained Model for Restless Bandits via Multi-Arm Generalization Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

NeurIPS 2024 Transcendence: Generative Models Can Outperform the Experts That Train Them Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham Kakade, Eran Malach

IJCAI 2023 Complex Contagion Influence Maximization: A Reinforcement Learning Approach Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe

IJCAI 2023 Find Rhinos Without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe

AAAI 2023 Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe

ICML 2023 Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe

AAAI 2023 Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja

IJCAI 2023 Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe

AAAI 2023 Optimistic Whittle Index Policy: Online Learning for Restless Bandits Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe

AAAI 2023 Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe

AAAI 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe

IJCAI 2022 ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay

NeurIPSW 2022 Case Study: Applying Decision Focused Learning in the Real World Shresth Verma, Aditya Mate, Kai Wang, Aparna Taneja, Milind Tambe

AAAI 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

NeurIPS 2022 Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe

IJCAI 2022 Evolutionary Approach to Security Games with Signaling Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran

AAAI 2022 Facilitating Human-Wildlife Cohabitation Through Conflict Prediction Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe

AAAI 2022 Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe

AAAI 2022 Micronutrient Deficiency Prediction via Publicly Available Satellite Data Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe

IJCAI 2022 Ranked Prioritization of Groups in Combinatorial Bandit Allocation Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe

UAI 2022 Restless and Uncertain: Robust Policies for Restless Bandits via Deep Multi-Agent Reinforcement Learning Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

UAI 2022 Solving Structured Hierarchical Games Using Differential Backward Induction Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik

ICLRW 2022 Solving Structured Hierarchical Games Using Differential Backward Induction Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik

AAAI 2022 Using Public Data to Predict Demand for Mobile Health Clinics Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe

AAAI 2021 Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe

UAI 2021 Contingency-Aware Influence Maximization: A Reinforcement Learning Approach Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe

AAAI 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

AAAI 2021 Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe

IJCAI 2021 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe

NeurIPS 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe

UAI 2021 Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe

AAAI 2021 Tracking Disease Outbreaks from Sparse Data with Bayesian Inference Bryan Wilder, Michael J. Mina, Milind Tambe

NeurIPS 2020 Automatically Learning Compact Quality-Aware Surrogates for Optimization Problems Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe

WACV 2020 BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe

NeurIPS 2020 Collapsing Bandits and Their Application to Public Health Intervention Aditya Mate, Jackson Killian, Haifeng Xu, Andrew Perrault, Milind Tambe

AAAI 2020 End-to-End Game-Focused Learning of Adversary Behavior in Security Games Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe

AAAI 2020 MIPaaL: Mixed Integer Program as a Layer Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe

UAI 2020 Robust Spatial-Temporal Incident Prediction Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik

AAAI 2020 Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

AAAI 2020 To Signal or Not to Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe

NeurIPS 2019 End to End Learning and Optimization on Graphs Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe

NeurIPS 2019 Exploring Algorithmic Fairness in Robust Graph Covering Problems Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe

IJCAI 2019 Group-Fairness in Influence Maximization Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick

ECML-PKDD 2019 Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe

AAAI 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization Bryan Wilder, Bistra Dilkina, Milind Tambe

AAAI 2019 On the Inducibility of Stackelberg Equilibrium for Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An

IJCAI 2018 Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness About HIV Among Homeless Youth Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo

IJCAI 2018 End to End Influence Maximization for HIV Prevention Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice

AAAI 2018 Influence Maximization for Social Network Based Substance Abuse Prevention Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker

AAAI 2018 Maximizing Influence in an Unknown Social Network Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe

IJCAI 2018 Near Real-Time Detection of Poachers from Drones in AirSim Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe

AAAI 2018 Policy Learning for Continuous Space Security Games Using Neural Networks Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe

AAAI 2018 Preventing Infectious Disease in Dynamic Populations Under Uncertainty Bryan Wilder, Sze-Chuan Suen, Milind Tambe

AAAI 2018 SPOT Poachers in Action: Augmenting Conservation Drones with Automatic Detection in near Real Time Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia

IJCAI 2018 Stackelberg Security Games: Looking Beyond a Decade of Success Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe

AAAI 2018 Strategic Coordination of Human Patrollers and Mobile Sensors with Signaling for Security Games Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe

IJCAI 2018 The Price of Usability: Designing Operationalizable Strategies for Security Games Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe

IJCAI 2017 Don't Bury Your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-Security Alerts Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter

IJCAI 2017 Maximizing Awareness About HIV in Social Networks of Homeless Youth with Limited Information Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe

IJCAI 2017 Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources Sara Marie McCarthy, Phebe Vayanos, Milind Tambe

ECML-PKDD 2017 Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga

AAAI 2016 Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe

AAAI 2016 Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration) Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe

AAAI 2016 Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux

AAAI 2016 From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe

AAAI 2016 One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe

AAAI 2016 Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion

IJCAI 2016 Three Strategies to Success: Learning Adversary Models in Security Games Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe

AAAI 2015 Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies Branislav Bosanský, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld

AAAI 2015 Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version) Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe

AAAI 2015 Exploring Information Asymmetry in Two-Stage Security Games Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe

AAAI 2015 Preventing HIV Spread in Homeless Populations Using PSINET Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael

IJCAI 2015 Security Games with Information Leakage: Modeling and Computation Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe

IJCAI 2015 When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing Fei Fang, Peter Stone, Milind Tambe

NeurIPS 2014 Diverse Randomized Agents Vote to Win Albert Jiang, Leandro Soriano Marcolino, Ariel D Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe

JAIR 2014 Game-Theoretic Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System Francesco Maria Delle Fave, Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, Sarit Kraus, John P. Sullivan

AAAI 2014 Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring

AAAI 2014 Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier

AAAI 2014 Robust Protection of Fisheries with COmPASS William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola

AAAI 2014 STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe

AAAI 2014 Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe

AAAI 2013 Analyzing the Effectiveness of Adversary Modeling in Security Games Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe

IJCAI 2013 Defender (Mis)coordination in Security Games Albert Xin Jiang, Ariel D. Procaccia, Yundi Qian, Nisarg Shah, Milind Tambe

IJCAI 2013 Efficiently Solving Joint Activity Based Security Games Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Milind Tambe

IJCAI 2013 Multi-Agent Team Formation: Diversity Beats Strength? Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe

JAIR 2013 Protecting Moving Targets with Multiple Mobile Resources Fei Fang, Albert Xin Jiang, Milind Tambe

IJCAI 2013 Scaling-up Security Games with Boundedly Rational Adversaries: A Cutting-Plane Approach Rong Yang, Albert Xin Jiang, Milind Tambe, Fernando Ordóñez

AAAI 2012 PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States Eric Anyung Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer

AAAI 2012 Patrol Strategies to Maximize Pristine Forest Area Matthew Paul Johnson, Fei Fang, Milind Tambe

AAAI 2012 Security Games for Controlling Contagion Jason Tsai, Thanh Hong Nguyen, Milind Tambe

AAAI 2012 Security Games with Limited Surveillance Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik

AAAI 2012 The Deployment-to-Saturation Ratio in Security Games Manish Jain, Kevin Leyton-Brown, Milind Tambe

IJCAI 2011 Continuous Time Planning for Multiagent Teams with Temporal Constraints Zhengyu Yin, Milind Tambe

IJCAI 2011 GUARDS - Innovative Application of Game Theory for National Airport Security James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, Erin Steigerwald

IJCAI 2011 Improving Resource Allocation Strategy Against Human Adversaries in Security Games Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John

AAAI 2011 Refinement of Strong Stackelberg Equilibria in Security Games Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld

AAAI 2011 Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordóñez

JAIR 2011 Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe

AAAI 2010 Security Games with Arbitrary Schedules: A Branch and Price Approach Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe

AAAI 2010 Urban Security: Game-Theoretic Resource Allocation in Networked Domains Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, Milind Tambe

IJCAI 2009 DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo

AAAI 2008 ARMOR Security for Los Angeles International Airport James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus

AAAI 2008 Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus

AAAI 2008 Towards Faster Planning with Continuous Resources in Stochastic Domains Janusz Marecki, Milind Tambe

IJCAI 2007 A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources Janusz Marecki, Sven Koenig, Milind Tambe

IJCAI 2007 Quality Guarantees on K-Optimal Solutions for Distributed Constraint Optimization Problems Jonathan P. Pearce, Milind Tambe

IJCAI 2007 Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe

AAAI 2006 Analysis of Privacy Loss in Distributed Constraint Optimization Rachel Greenstadt, Jonathan P. Pearce, Milind Tambe

JAIR 2005 Hybrid BDI-POMDP Framework for Multiagent Teaming Ranjit Nair, Milind Tambe

IJCAI 2005 Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

AAAI 2005 Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo

AAAI 2005 The DEFACTO System: Training Tool for Incident Commanders Nathan Schurr, Janusz Marecki, John P. Lewis, Milind Tambe, Paul Scerri

IJCAI 2003 Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. Pynadath, Stacy Marsella

JAIR 2002 Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach Gal A. Kaminka, David V. Pynadath, Milind Tambe

JAIR 2002 The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models David V. Pynadath, Milind Tambe

JAIR 2002 Towards Adjustable Autonomy for the Real World Paul Scerri, David V. Pynadath, Milind Tambe

JAIR 2000 Robust Agent Teams via Socially-Attentive Monitoring Gal A. Kaminka, Milind Tambe

AAAI 1999 Automated Team Analysis Taylor Raines, Milind Tambe, Stacy Marsella

IJCAI 1999 Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches Milind Tambe, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Taylor Raines

AAAI 1998 What Is Wrong with Us? Improving Robustness Through Social Diagnosis Gal A. Kaminka, Milind Tambe

AAAI 1997 Agent Architectures for Flexible, Practical Teamwork Milind Tambe

AAAI 1997 Efficient Production Match Algorithm and Its Implication for Dynamic Constraint Satisfaction Problems Bonghan Cho, Paul S. Rosenbloom, Milind Tambe

AAAI 1997 Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft Randall W. Hill Jr., Johnny Chen, Jonathan Gratch, Paul S. Rosenbloom, Milind Tambe

AAAI 1997 Social Comparison for Failure Detection and Recovery in Multi-Agent Settings Gal A. Kaminka, Milind Tambe

IJCAI 1997 The RoboCup Synthetic Agent Challenge 97 Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada

JAIR 1997 Towards Flexible Teamwork Milind Tambe

AAAI 1996 Some Challenges in Tracking Agent Teams Milind Tambe, Ernesto Brodersohn-Ostrovich

AAAI 1996 Tracking Dynamic Team Activity Milind Tambe

IJCAI 1995 RESC: An Approach for Real-Time, Dynamic Agent Tracking Milind Tambe, Paul S. Rosenbloom

AAAI 1993 On the Masking Effect Milind Tambe, Paul S. Rosenbloom

AAAI 1992 Learning 10, 000 Chunks: What's It like Out There? Robert B. Doorenbos, Milind Tambe, Allen Newell

AAAI 1990 A Frameworkfor Investigating Production System Formulations with Polynomially Bounded Match Milind Tambe, Paul S. Rosenbloom

MLJ 1990 The Problem of Expensive Chunks and Its Solution by Restricting Expressiveness Milind Tambe, Allen Newell, Paul S. Rosenbloom

IJCAI 1989 Eliminating Expensive Chunks by Restricting Expressiveness Milind Tambe, Paul S. Rosenbloom

ICML 1988 Some Chunks Are Expensive Milind Tambe, Allen Newell

AAAI 1988 Suitability of Message Passing Computers for Implementing Production Systems Anoop Gupta, Milind Tambe