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TSMC
2002
93views more  TSMC 2002»
14 years 9 months ago
An approach to discrete-time incentive feedback Stackelberg games
Abstract--A substantial effort has been devoted to various incentive Stackelberg solution concepts. Most of these concepts work well in the sense that the leader can get his desire...
Ming Li, Jose B. Cruz Jr., Marwan A. Simaan
ATAL
2011
Springer
13 years 9 months ago
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up
The fastest known algorithm for solving General Bayesian Stackelberg games with a finite set of follower (adversary) types have seen direct practical use at the LAX airport for o...
Manish Jain, Christopher Kiekintveld, Milind Tambe
ATAL
2009
Springer
15 years 4 months ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...
AI
2010
Springer
14 years 6 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
14 years 4 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla