Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. - Haifeng Xu; Kai Wang 040; Phebe Vayanos; Milind Tambe (AAAI, 2018)

Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. - Kai Wang 040; Qingyu Guo; Phebe Vayanos; Milind Tambe; Bo An 001 (AAMAS, 2018)

The Price of Usability: Designing Operationalizable Strategies for Security Games. - Sara Marie McCarthy; Corine M. Laan; Kai Wang 040; Phebe Vayanos; Arunesh Sinha; Milind Tambe (IJCAI, 2018)

Deep Fictitious Play for Games with Continuous Action Spaces. - Nitin Kamra; Umang Gupta; Kai Wang 040; Fei Fang 001; Yan Liu 002; Milind Tambe (AAMAS, 2019)

DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. - Nitin Kamra; Umang Gupta; Kai Wang 040; Fei Fang 001; Yan Liu 002; Milind Tambe (GameSec, 2019)

Mobile Game Theory with Street Gangs. - Sarah Cooney; Wendy Gomez; Kai Wang 040; Jorja Leap; P. Jeffrey Brantingham; Milind Tambe (PKDD/ECML Workshops (1), 2019)

Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. - Sarah Cooney; Kai Wang 040; Elizabeth Bondi; Thanh Hong Nguyen; Phebe Vayanos; Hailey Winetrobe; Edward A. Cranford; Cleotilde Gonzalez; Christian Lebiere; Milind Tambe (ECML/PKDD (1), 2019)

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. - Kai Wang 040; Bryan Wilder; Sze-Chuan Suen; Bistra Dilkina; Milind Tambe (PKDD/ECML Workshops (1), 2019)

Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. - Kai Wang 040; Andrew Perrault; Aditya Mate; Milind Tambe (AAMAS, 2020)

Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. - Han-Ching Ou; Kai Wang 040; Finale Doshi-Velez; Milind Tambe (MABS, 2020)

Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. - Kai Wang 040; Bryan Wilder; Andrew Perrault; Milind Tambe (NeurIPS, 2020)

Robust Spatial-Temporal Incident Prediction. - Ayan Mukhopadhyay; Kai Wang 040; Andrew Perrault; Mykel J. Kochenderfer; Milind Tambe; Yevgeniy Vorobeychik (UAI, 2020)

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. - Lily Xu; Elizabeth Bondi; Fei Fang 001; Andrew Perrault; Kai Wang 040; Milind Tambe (AAAI, 2021)

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. - Kai Wang 040; Sanket Shah; Haipeng Chen 001; Andrew Perrault; Finale Doshi-Velez; Milind Tambe (NeurIPS, 2021)

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. - Kai Wang 040; Sanket Shah; Haipeng Chen 001; Andrew Perrault; Finale Doshi-Velez; Milind Tambe (CoRR, 2021)

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. - Kai Wang 040; Bryan Wilder; Sze-Chuan Suen; Bistra Dilkina; Milind Tambe (CoRR, 2021)

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. - Kai Wang 040; Lily Xu; Andrew Perrault; Michael K. Reiter; Milind Tambe (AAAI, 2022)

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. - Sanket Shah; Kai Wang 040; Bryan Wilder; Andrew Perrault; Milind Tambe (NeurIPS, 2022)

Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (CoRR, 2022)

Optimistic Whittle Index Policy: Online Learning for Restless Bandits. - Kai Wang 040; Lily Xu; Aparna Taneja; Milind Tambe (AAAI, 2023)

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (AAAI, 2023)

Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. - Sonja Johnson-Yu; Kai Wang 040; Jessie Finocchiaro; Aparna Taneja; Milind Tambe (AAMAS, 2023)

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. - Shresth Verma; Aditya Mate; Kai Wang 040; Neha Madhiwalla; Aparna Hegde; Aparna Taneja; Milind Tambe (AAMAS, 2023)

Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. - Sonja Johnson-Yu; Jessie Finocchiaro; Kai Wang 040; Yevgeniy Vorobeychik; Arunesh Sinha; Aparna Taneja; Milind Tambe (GameSec, 2023)

What is the Right Notion of Distance between Predict-then-Optimize Tasks? - Paula Rodriguez Diaz; Lingkai Kong; Kai Wang 040; David Alvarez-Melis; Milind Tambe (UAI, 2025)