Milind Tambe
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
207
Venues
30
Active years
1988–2026
Best venue rank
A*
Where they publish
- A*AAAI92 papers
- A*IJCAI39 papers
- AAAMAS13 papers
- AUAI8 papers
- AECAI7 papers
- CRoboCup7 papers
- A*ICML5 papers
- A*ICLR3 papers
- A*KDD3 papers
- CAIES2 papers
- BCogSci2 papers
- CIAAI2 papers
- BIVA2 papers
- NationalISAIM2 papers
- ACP2 papers
- BICTAI2 papers
- BPPoPP2 papers
- BICPP2 papers
- BPRICAI1 paper
- A*ICDE1 paper
- CMABS1 paper
- AWACV1 paper
- BCPAIOR1 paper
- NationalPAAMS1 paper
- CEUMAS1 paper
- BPRIMA1 paper
- CWETICE1 paper
- MulticonferenceSAC1 paper
- CTIME1 paper
- ACIKM1 paper
Papers
207 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget. | Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stphane Verguet |
| 2026 | AAAI | Preference Robustness for DPO with Applications to Public Health. | Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe |
| 2026 | AAAI | Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction. | Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Brsch-Supan, Lily Xu, Milind Tambe |
| 2026 | AAAI | VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping. | Guojun Xiong, Milind Tambe |
| 2025 | AAAI | Evaluating Index-based Treatment Allocation in Underresourced Communities. | Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits. | Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson |
| 2025 | AAAI | PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. | Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe |
| 2025 | AAAI | The Bandit Whisperer: Communication Learning for Restless Bandits. | Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe |
| 2025 | ECAI | Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours. | Arpan Dasgupta, Sarvesh Gharat, Neha Madhiwalla, Aparna Hegde, Milind Tambe, Aparna Taneja |
| 2025 | ICLR | Reinforcement learning with combinatorial actions for coupled restless bandits. | Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe |
| 2025 | ICML | 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 |
| 2025 | UAI | What is the Right Notion of Distance between Predict-then-Optimize Tasks? | Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe |
| 2025 | UAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. | Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe |
| 2024 | ECAI | Escape Sensing Games: Detection-vs-Evasion in Security Applications. | Niclas Boehmer, Minbiao Han, Haifeng Xu, Milind Tambe |
| 2024 | ECAI | Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. | Lucia Gordon, Esther Rolf, Milind Tambe |
| 2024 | ICLR | Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. | Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez |
| 2024 | ICLR | Towards Fairness constrained Restless Multi-Armed Bandits: a Case Study of Maternal and child Care Domain. | Gargi Singh, Milind Tambe, Aparna Taneja |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2024 | ICML | 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 |
| 2024 | IJCAI | 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 |
| 2024 | PRICAI | IRL for Restless Multi-armed Bandits with Applications in Maternal and Child Health. | Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, Milind Tambe |
| 2024 | UAI | Group Fairness in Predict-Then-Optimize Settings for Restless Bandits. | Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe |
| 2023 | AAAI | Optimistic Whittle Index Policy: Online Learning for Restless Bandits. | Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | ICML | Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. | Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe |
| 2023 | IJCAI | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. | Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2023 | IJCAI | 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 |
| 2023 | IJCAI | 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 |
| 2022 | AAAI | 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 |
| 2022 | AAAI | 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 |
| 2022 | AAAI | Micronutrient Deficiency Prediction via Publicly Available Satellite Data. | Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe |
| 2022 | AAAI | 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 |
| 2022 | AAAI | 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 |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | Ranked Prioritization of Groups in Combinatorial Bandit Allocation. | Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe |
| 2022 | IJCAI | Evolutionary Approach to Security Games with Signaling. | Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran |
| 2022 | KDD | AI for Social Impact: Results from Deployments for Public Health and Conversation. | Milind Tambe |
| 2022 | UAI | Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning. | Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe |
| 2022 | UAI | Solving structured hierarchical games using differential backward induction. | Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik |
| 2021 | AAAI | Fair Influence Maximization: a Welfare Optimization Approach. | Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe |
| 2021 | AAAI | Tracking Disease Outbreaks from Sparse Data with Bayesian Inference. | Bryan Wilder, Michael J. Mina, Milind Tambe |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. | Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe |
| 2021 | IJCAI | Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. | Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe |
| 2021 | KDD | Q-Learning Lagrange Policies for Multi-Action Restless Bandits. | Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe |
| 2021 | UAI | Contingency-aware influence maximization: A reinforcement learning approach. | Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe |
| 2021 | UAI | Robust reinforcement learning under minimax regret for green security. | Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe |
| 2020 | AAAI | 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 |
| 2020 | AAAI | MIPaaL: Mixed Integer Program as a Layer. | Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2020 | AAAI | End-to-End Game-Focused Learning of Adversary Behavior in Security Games. | Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe |
| 2020 | AAAI | Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. | Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe |
| 2020 | ICDE | Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). | Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel |
| 2020 | MABS | Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. | Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe |
| 2020 | WACV | 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 |
| 2020 | UAI | Robust Spatial-Temporal Incident Prediction. | Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik |
| 2019 | AAAI | On the Inducibility of Stackelberg Equilibrium for Security Games. | Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An |
| 2019 | AAAI | Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. | Bryan Wilder, Bistra Dilkina, Milind Tambe |
| 2019 | IJCAI | Group-Fairness in Influence Maximization. | Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick |
| 2019 | KDD | Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. | Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe |
| 2018 | AAAI | 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 |
| 2018 | AAAI | Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. | Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga |
| 2018 | AAAI | Policy Learning for Continuous Space Security Games Using Neural Networks. | Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe |
| 2018 | AAAI | Influence Maximization for Social Network Based Substance Abuse Prevention. | Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker |
| 2018 | AAAI | Maximizing Influence in an Unknown Social Network. | Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe |
| 2018 | AAAI | Preventing Infectious Disease in Dynamic Populations Under Uncertainty. | Bryan Wilder, Sze-Chuan Suen, Milind Tambe |
| 2018 | AAAI | Preventing Infectious Disease in Dynamic Populations Under Uncertainty. | Bryan Wilder, Sze-Chuan Suen, Milind Tambe |
| 2018 | AAAI | Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. | Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe |
| 2018 | AIES | Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. | Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe |
| 2018 | AIES | Partially Generative Neural Networks for Gang Crime Classification with Partial Information. | Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu |
| 2018 | CogSci | Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. | Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe |
| 2018 | CPAIOR | Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. | Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe |
| 2018 | IJCAI | 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 |
| 2018 | IJCAI | The Price of Usability: Designing Operationalizable Strategies for Security Games. | Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe |
| 2018 | IJCAI | Stackelberg Security Games: Looking Beyond a Decade of Success. | Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe |
| 2018 | IJCAI | 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 |
| 2018 | IJCAI | 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 |
| 2017 | IJCAI | Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. | Sara Marie McCarthy, Phebe Vayanos, Milind Tambe |
| 2017 | IJCAI | 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 |
| 2017 | IJCAI | Influence Maximization with an Unknown Network by Exploiting Community Structure. | Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe |
| 2017 | IJCAI | 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 |
| 2017 | IJCAI | Explanation Systems for Influence Maximization Algorithms. | Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha |
| 2016 | AAAI | 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 |
| 2016 | AAAI | 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 |
| 2016 | AAAI | 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 |
| 2016 | AAAI | Simultaneous Influencing and Mapping for Health Interventions. | Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe |
| 2016 | AAAI | Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. | Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion |
| 2016 | AAAI | Protecting Wildlife under Imperfect Observation. | 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 |
| 2016 | AAAI | Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. | Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe |
| 2016 | AAAI | 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 |
| 2016 | CogSci | Know Your Adversary: Insights for a Better Adversarial Behavioral Model. | Yasaman Abbasi, Debarun Kar, Nicole D. Sintov, Milind Tambe, Noam Ben-Asher, Don Morrison, Cleotilde Gonzalez |
| 2016 | ECAI | Toward Addressing Collusion Among Human Adversaries in Security Games. | Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole D. Sintov, Milind Tambe |
| 2016 | ECAI | Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games. | Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta |
| 2016 | IJCAI | Three Strategies to Success: Learning Adversary Models in Security Games. | Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe |
| 2016 | PAAMS | Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. | Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe |
| 2015 | AAAI | Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies. | Branislav Bosansk, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld |
| 2015 | AAAI | Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. | Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen |
| 2015 | AAAI | Agents Vote for the Environment: Designing Energy-Efficient Architecture. | Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe |
| 2015 | AAAI | Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). | Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe |
| 2015 | AAAI | Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork. | Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe |
| 2015 | AAAI | Exploring Information Asymmetry in Two-Stage Security Games. | Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe |
| 2015 | AAAI | 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 |
| 2015 | IJCAI | When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. | Fei Fang, Peter Stone, Milind Tambe |
| 2015 | IJCAI | Security Games with Information Leakage: Modeling and Computation. | Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe |
| 2014 | AAAI | STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation. | Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe |
| 2014 | AAAI | Robust Protection of Fisheries with COmPASS. | William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola |
| 2014 | AAAI | Aggregating Opinions to Design Energy-Efficient Buildings. | Leandro Soriano Marcolino, Boian Kolev, Samori Price, Sreerag Palangat Veetil, David Jason Gerber, Josef Musil, Milind Tambe |
| 2014 | AAAI | Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces. | Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring |
| 2014 | AAAI | Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. | Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier |
| 2014 | AAAI | Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. | Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe |
| 2014 | ECAI | Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. | Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe |
| 2013 | AAAI | Analyzing the Effectiveness of Adversary Modeling in Security Games. | Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe |
| 2013 | IJCAI | Defender (Mis)coordination in Security Games. | Albert Xin Jiang, Ariel D. Procaccia, Yundi Qian, Nisarg Shah, Milind Tambe |
| 2013 | IJCAI | Multi-Agent Team Formation: Diversity Beats Strength? | Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe |
| 2013 | IJCAI | Efficiently Solving Joint Activity Based Security Games. | Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Milind Tambe |
| 2013 | IJCAI | Scaling-up Security Games with Boundedly Rational Adversaries: A Cutting-plane Approach. | Rong Yang, Albert Xin Jiang, Milind Tambe, Fernando Ordez |
| 2012 | AAAI | Security Games with Limited Surveillance. | Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik |
| 2012 | AAAI | The Deployment-to-Saturation Ratio in Security Games. | Manish Jain, Kevin Leyton-Brown, Milind Tambe |
| 2012 | AAAI | Patrol Strategies to Maximize Pristine Forest Area. | Matthew Paul Johnson, Fei Fang, Milind Tambe |
| 2012 | AAAI | 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 |
| 2012 | AAAI | Security Games for Controlling Contagion. | Jason Tsai, Thanh Hong Nguyen, Milind Tambe |
| 2012 | AAMAS | Multi-objective optimization for security games. | Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordez, Milind Tambe |
| 2012 | AAMAS | AgentPolis: towards a platform for fully agent-based modeling of multi-modal transportation (demonstration). | Michal Jakob, Zbynek Moler, Antonn Komenda, Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Michal Pechoucek, Milind Tambe |
| 2012 | AAMAS | Detection of suspicious behavior from a sparse set of multiagent interactions. | Bostjan Kaluza, Gal A. Kaminka, Milind Tambe |
| 2012 | AAMAS | SAVES: a sustainable multiagent application to conserve building energy considering occupants. | Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood |
| 2012 | AAMAS | Sustainable multiagent application to conserve energy (demonstration). | Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood |
| 2012 | AAMAS | A robust approach to addressing human adversaries in security games. | James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Rong Yang, Sarit Kraus |
| 2012 | AAMAS | PROTECT: a deployed game theoretic system to protect the ports of the United States. | Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer |
| 2012 | AAMAS | Emotional contagion with virtual characters. | Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe |
| 2012 | AAMAS | Game-theoretic resource allocation for malicious packet detection in computer networks. | Ondrej Vanek, Zhengyu Yin, Manish Jain, Branislav Bosansk, Milind Tambe, Michal Pechoucek |
| 2012 | AAMAS | Adversarial patrolling games. | Yevgeniy Vorobeychik, Bo An, Milind Tambe |
| 2012 | AAMAS | Designing better strategies against human adversaries in network security games. | Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran |
| 2012 | AAMAS | Computing optimal strategy against quantal response in security games. | Rong Yang, Fernando Ordez, Milind Tambe |
| 2012 | AAMAS | A unified method for handling discrete and continuous uncertainty in Bayesian Stackelberg games. | Zhengyu Yin, Milind Tambe |
| 2012 | ECAI | A Robust Approach to Addressing Human Adversaries in Security Games. | James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Sarit Kraus |
| 2012 | IAAI | TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems. | Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, Milind Tambe, John P. Sullivan |
| 2012 | IVA | A Study of Emotional Contagion with Virtual Characters. | Jason Tsai, Emma Bowring, Stacy Marsella, Wendy Wood, Milind Tambe |
| 2011 | AAAI | Refinement of Strong Stackelberg Equilibria in Security Games. | Bo An, Milind Tambe, Fernando Ordez, Eric Anyung Shieh, Christopher Kiekintveld |
| 2011 | AAAI | Addressing Execution and Observation Error in Security Games. | Manish Jain, Zhengyu Yin, Milind Tambe, Fernando Ordez |
| 2011 | AAAI | Towards Detection of Suspicious Behavior from Multiple Observations. | Bostjan Kaluza, Gal A. Kaminka, Milind Tambe |
| 2011 | AAAI | Toward Addressing Human Behavior with Observational Uncertainty in Security Games. | James Pita, Rong Yang, Milind Tambe, Richard John |
| 2011 | AAAI | Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty. | Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordez |
| 2011 | EUMAS | Game Theory for Security: An Important Challenge for Multiagent Systems. | Bo An, Milind Tambe |
| 2011 | IJCAI | GUARDS - Innovative Application of Game Theory for National Airport Security. | James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, Erin Steigerwald |
| 2011 | IJCAI | Improving Resource Allocation Strategy against Human Adversaries in Security Games. | Rong Yang, Christopher Kiekintveld, Fernando Ordez, Milind Tambe, Richard John |
| 2011 | IJCAI | Continuous Time Planning for Multiagent Teams with Temporal Constraints. | Zhengyu Yin, Milind Tambe |
| 2011 | IVA | Empirical Evaluation of Computational Emotional Contagion Models. | Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe |
| 2011 | PRIMA | Game Theory for Security: Lessons Learned from Deployed Applications. | Milind Tambe |
| 2010 | AAAI | Security Games with Arbitrary Schedules: A Branch and Price Approach. | Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordez, Milind Tambe |
| 2010 | AAAI | Teamwork and Coordination under Model Uncertainty in DEC-POMDPs. | Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe |
| 2010 | AAAI | Urban Security: Game-Theoretic Resource Allocation in Networked Domains. | Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, Milind Tambe |
| 2009 | IJCAI | DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. | Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo |
| 2008 | AAAI | Towards Faster Planning with Continuous Resources in Stochastic Domains. | Janusz Marecki, Milind Tambe |
| 2008 | AAAI | Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications. | Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordez, Sarit Kraus |
| 2008 | AAAI | ARMOR Security for Los Angeles International Airport. | James Pita, Manish Jain, Fernando Ordez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus |
| 2007 | IJCAI | A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources. | Janusz Marecki, Sven Koenig, Milind Tambe |
| 2007 | IJCAI | Quality Guarantees on k-Optimal Solutions for Distributed Constraint Optimization Problems. | Jonathan P. Pearce, Milind Tambe |
| 2007 | IJCAI | 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 |
| 2006 | AAAI | Analysis of Privacy Loss in Distributed Constraint Optimization. | Rachel Greenstadt, Jonathan P. Pearce, Milind Tambe |
| 2006 | ISAIM | Security in Multiagent Systems by Policy Randomization. | Praveen Paruchuri, Milind Tambe, Fernando Ordez, Sarit Kraus |
| 2006 | ISAIM | Solution Sets for DCOPs and Graphical Games: Metrics and Bounds. | Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe |
| 2005 | AAAI | Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs. | Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo |
| 2005 | AAAI | The DEFACTO System: Training Tool for Incident Commanders. | Nathan Schurr, Janusz Marecki, John P. Lewis, Milind Tambe, Paul Scerri |
| 2005 | IJCAI | Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs. | Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo |
| 2004 | CP | Preprocessing Techniques for Distributed Constraint Optimization. | Syed Muhammad Ali, Sven Koenig, Milind Tambe |
| 2004 | WETICE | Token Approach for Role Allocation in Extreme Teams: Analysis and Experimental Evaluation. | Paul Scerri, Alessandro Farinelli, Stephen Okamoto, Milind Tambe |
| 2003 | IJCAI | Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings. | Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. Pynadath, Stacy Marsella |
| 2003 | SAC | Are Multiagent Algorithms Relevant for Real Hardware? A Case Study of Distributed Constraint Algorithms. | Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe |
| 2002 | RoboCup | Team Formation for Reformation in Multiagent Domains Like RoboCupRescue. | Ranjit Nair, Milind Tambe, Stacy Marsella |
| 2001 | CP | A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation. | Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, Wei-Min Shen, Shriniwas Kulkarni |
| 2001 | IAAI | Electric Elves: Applying Agent Technology to Support Human Organizations. | Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe |
| 2001 | RoboCup | Task Allocation in the RoboCup Rescue Simulation Domain: A Short Note. | Ranjit Nair, Takayuki Ito, Milind Tambe, Stacy Marsella |
| 1999 | AAAI | Automated Team Analysis. | Taylor Raines, Milind Tambe, Stacy Marsella |
| 1999 | IJCAI | Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches. | Milind Tambe, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Taylor Raines |
| 1999 | RoboCup | Automated Assistants to Aid Humans in Understanding Team Behaviors. | Taylor Raines, Milind Tambe, Stacy Marsella |
| 1998 | AAAI | What Is Wrong With Us? Improving Robustness Through Social Diagnosis. | Gal A. Kaminka, Milind Tambe |
| 1998 | RoboCup | Overview of RoboCup-98. | Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar |
| 1998 | RoboCup | Using an Explicit Teamwork Model and Learning in RoboCup: An Extended Abstract. | Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Randall W. Hill Jr., Gal A. Kaminka, Zhun Qiu, Milind Tambe |
| 1997 | AAAI | Efficient Production Match Algorithm and Its Implication for Dynamic Constraint Satisfaction Problems. | Bonghan Cho, Paul S. Rosenbloom, Milind Tambe |
| 1997 | AAAI | 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 |
| 1997 | AAAI | Social Comparison for Failure Detection and Recovery in Multi-Agent Settings. | Gal A. Kaminka, Milind Tambe |
| 1997 | AAAI | Agent Architectures for Flexible, Practical Teamwork. | Milind Tambe |
| 1997 | IJCAI | 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 |
| 1997 | RoboCup | 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 |
| 1997 | RoboCup | Using an Explicit Model of Teamwork in RoboCup-97. | Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Marcelo Tallis |
| 1996 | AAAI | Tracking Dynamic Team Activity. | Milind Tambe |
| 1996 | AAAI | Some Challenges in Tracking Agent Teams. | Milind Tambe, Ernesto Brodersohn-Ostrovich |
| 1995 | IJCAI | RESC: An Approach for Real-time, Dynamic Agent Tracking. | Milind Tambe, Paul S. Rosenbloom |
| 1994 | TIME | Event Tracking for an Intelligent Automated Agent. | Milind Tambe, Paul S. Rosenbloom |
| 1993 | AAAI | On the Masking Effect. | Milind Tambe, Paul S. Rosenbloom |
| 1993 | CIKM | Collection Oriented Match. | Anurag Acharya, Milind Tambe |
| 1992 | AAAI | Learning 10, 000 Chunks: What's It Like Out There? | Robert B. Doorenbos, Milind Tambe, Allen Newell |
| 1992 | ICTAI | Is Production System Match Interesting? | Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe |
| 1992 | ICTAI | An Efficient Algorithm for Production Systems with Linear-Time Match. | Milind Tambe, Dirk Kalp, Paul S. Rosenbloom |
| 1990 | AAAI | A Frameworkfor Investigating Production System Formulations with Polynomially Bounded Match. | Milind Tambe, Paul S. Rosenbloom |
| 1990 | PPoPP | The Effectiveness of Task-Level Parallelism for High-Level Vision. | Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown, Allen Newell |
| 1989 | ICPP | Production Systems on Message Passing Computers: Simulation Results and Analysis. | Anurag Acharya, Milind Tambe |
| 1989 | IJCAI | Eliminating Expensive Chunks by Restricting Expressiveness. | Milind Tambe, Paul S. Rosenbloom |
| 1988 | AAAI | Suitability of Message Passing Computers for Implementing Production Systems. | Anoop Gupta, Milind Tambe |
| 1988 | ICML | Some Chunks Are Expensive. | Milind Tambe, Allen Newell |
| 1988 | ICPP | Parallel OPS5 on the Encore Multimax. | Anoop Gupta, Charles Forgy, Dirk Kalp, Allen Newell, Milind Tambe |
| 1988 | PPoPP | Soar/PSM-E: Investigating Match Parallelism in a Learning Production System. | Milind Tambe, Dirk Kalp, Anoop Gupta, Charles Forgy, Brian Milnes, Allen Newell |