One important challenge for a set of agents to achieve more efficient collaboration is for these agents to maintain proper models of each other. An important aspect of these mode...
g Robust Strategies Based on Abstracted Game Models Oscar Veliz and Christopher Kiekintveld Game theory is a tool for modeling multi-agent decision problems and has been used to gr...
In this paper we present a novel Stackelberg-type model of security domains: Security Assets aSsignment with Information disclosure (SASI). The model combines both the features of...
Zinovi Rabinovich, Albert Xin Jiang, Manish Jain, ...
Most research into intelligent virtual agents focuses on agents with a positive stance towards the user. Nevertheless, the development of virtual agents that show aggressive behav...
Romy Blankendaal, Tibor Bosse, Charlotte Gerritsen...
We consider the problem of finding stationary Nash equilibria (NE) in a finite discounted general-sum stochastic game. We first generalize a non-linear optimization problem fro...
Abstract. The field of Distributed Constraint Optimization has gained momentum in recent years, thanks to its ability to address various applications related to multi-agent cooper...
The general problem of covering an area is a fundamental problem in robotics with applications in various domains. In a recently introduced version of the problem, adversarial cov...
Several competing human behavior models have been proposed to model and protect against boundedly rational adversaries in repeated Stackelberg security games (SSGs). However, thes...
Debarun Kar, Fei Fang, Francesco Maria Delle Fave,...