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» Nash Convergence of Gradient Dynamics in General-Sum Games
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JAIR
2008
119views more  JAIR 2008»
14 years 9 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
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...
Sherief Abdallah, Victor R. Lesser
COCOON
2009
Springer
15 years 4 months ago
On the Performances of Nash Equilibria in Isolation Games
: 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...
Vittorio Bilò, Michele Flammini, Gianpiero ...
IJCAI
2003
14 years 11 months ago
Local-Effect Games
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...
Kevin Leyton-Brown, Moshe Tennenholtz
SODA
2012
ACM
278views Algorithms» more  SODA 2012»
12 years 12 months ago
Beyond myopic best response (in Cournot competition)
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...
INFOCOM
2012
IEEE
12 years 12 months ago
Submodular game for distributed application allocation in shared sensor networks
Abstract—Wireless sensor networks are evolving from singleapplication platforms towards an integrated infrastructure shared by multiple applications. Given the resource constrain...
Chengjie Wu, You Xu, Yixin Chen, Chenyang Lu