Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
It is a challenging problem to find agents’ rational strategies in bargaining with incomplete information. In this paper we perform a game theoretic analysis of agents’ ratio...
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...
Abstract. We present a logic-based framework to evaluate the resilience of computer networks in the face of incidents, i.e., attacks from malicious intruders as well as random faul...