Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
We present a new class of games, local-effect games (LEGs), which exploit structure in a different way from other compact game representations studied in AI. We show both theoreti...
A Nash Equilibrium is a joint strategy profile at which each agent myopically plays a best response to the other agents’ strategies, ignoring the possibility that deviating fro...
Amos Fiat, Elias Koutsoupias, Katrina Ligett, Yish...
Abstract—Wireless sensor networks are evolving from singleapplication platforms towards an integrated infrastructure shared by multiple applications. Given the resource constrain...