Kai Wang

发表

Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games

Milind Tambe, Kai Wang, Andrew Perrault, 2020, AAMAS.

Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints

Bo An, Kai Wang, Milind Tambe, 2018, AAMAS.

Machine Learning and Knowledge Discovery in Databases

Krishna M. Sivalingam, Alfredo Cuzzocrea, Simone Diniz Junqueira Barbosa, 2011, Lecture Notes in Computer Science.

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning

Finale Doshi-Velez, Kai Wang, A. Perrault, 2021, ArXiv.

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling pdf

Milind Tambe, Bistra Dilkina, Bryan Wilder, 2021, ArXiv.

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback

Milind Tambe, Kai Wang, Bryan Wilder, 2019, PKDD/ECML Workshops.

Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games

Haifeng Xu, Kai Wang, Milind Tambe, 2018, AAAI.

Mobile Game Theory with Street Gangs

Milind Tambe, Kai Wang, P. Jeffrey Brantingham, 2019, PKDD/ECML Workshops.

Deep Fictitious Play for Games with Continuous Action Spaces

Milind Tambe, Kai Wang, Nitin Kamra, 2019, AAMAS.

Using Graph Convolutional Networks to Learn Interdiction Games

Milind Tambe, Kai Wang, A. Perrault, 2019 .

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games pdf

Milind Tambe, Michael K. Reiter, Lily Xu, 2021, AAAI.

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

Céline Robardet, Andreas Hotho, Yuzuru Tanaka, 2020, ECML/PKDD.