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ICML
1998
IEEE
15 years 10 months ago
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
Junling Hu, Michael P. Wellman
SIGECOM
2006
ACM
107views ECommerce» more  SIGECOM 2006»
15 years 3 months ago
Networks preserving evolutionary equilibria and the power of randomization
We study a natural extension of classical evolutionary game theory to a setting in which pairwise interactions are restricted to the edges of an undirected graph or network. We ge...
Michael S. Kearns, Siddharth Suri
CLIMA
2004
14 years 11 months ago
A Computational Model for Conversation Policies for Agent Communication
In this paper we propose a formal specification of a persuasion protocol between autonomous agents using an approach based on social commitments and arguments. In order to be flexi...
Jamal Bentahar, Bernard Moulin, John-Jules Ch. Mey...
CORR
2010
Springer
91views Education» more  CORR 2010»
14 years 9 months ago
Structure of Extreme Correlated Equilibria
We exhibit the rich structure of the set of correlated equilibria by analyzing the simplest of polynomial games: the mixed extension of matching pennies. We show that while the co...
Noah D. Stein, Asuman E. Ozdaglar, Pablo A. Parril...
96
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ICASSP
2011
IEEE
14 years 1 months ago
Incentive mechanism in wireless multicast
In wireless multicast systems, cooperative multicast has been shown to be effective in dealing with heterogeneous channel conditions and improving the system performance. However,...
Bo Hu, H. Vicky Zhao, Hai Jiang