This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
We study Nash equilibria and the price of anarchy in the context of flows over time. Many results on static routing games have been obtained over the last ten years. In flows ov...
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...
Constantinos Daskalakis, Rafael Frongillo, Christo...
Communication between players in networked computer games is often inadequately implemented. The games do not exploit the full potential of using different forms of communication ...
We study two properties of coalition formation algorithms, very important for their application in real-life scenarios: robustness and tolerance to some agent misbehaviors. The st...