Kai Wang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Nash Equilibrium

Stackelberg Game

Reinforcement Learning

Multi Armed Bandits

Top Venues

Publications

Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja, Milind Tambe
Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. AAMAS (2023)
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. AAAI (2023)
Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. AAMAS (2023)
Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. AAAI (2023)
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. CoRR (2022)
Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. CoRR (2022)
Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS (2022)
Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. AAAI (2022)
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI (2021)
Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. CoRR (2021)
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR (2021)
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS (2021)
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. CoRR (2021)
Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS (2020)
Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik
Robust Spatial-Temporal Incident Prediction. UAI (2020)
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR (2020)
Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. NeurIPS (2020)
Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. MABS (2020)
Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. CoRR (2020)
Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe
Mobile Game Theory with Street Gangs. PKDD/ECML Workshops (1) (2019)
Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS (2019)
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) (2019)
Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) (2019)
Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec (2019)
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)
Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI (2018)
Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS (2018)