The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
Recent applications of game theory in security domains use algorithms to solve a Stackelberg model, in which one player (the leader) first commits to a mixed strategy and then th...
There has been significant recent interest in game theoretic approaches to security, with much of the recent research focused on utilizing the leader-follower Stackelberg game mo...
Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintve...
—Due to the limitation of radio spectrum resource and fast growing of wireless applications, careful channel allocation is highly needed to mitigate the performance degradation o...
Fan Wu, Nikhil Singh, Nitin H. Vaidya, Guihai Chen
Abstract—Market-based mechanisms offer promising approaches for spectrum access in cognitive radio networks. In this paper, we focus on two market models, one with a monopoly pri...
Lei Yang, Hongseok Kim, Junshan Zhang, Mung Chiang...
Abstract. Congestion games model several interesting applications, including routing and network formation games, and also possess attractive theoretical properties, including the ...
In this work, we study the problem of power allocation in teams. Each team consists of two agents who try to split their available power between the tasks of communication and jam...
This paper provides an analysis of discrimination and prejudices from the perspective of inductive game theory. We extend the festival game, originally given by Kaneko-Matsui, to ...
[1, 2] have shown for the dynamic spectrum allocation problem that a competitive market model (which sets a price for transmission power on each channel) leads to a greater social...
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...