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ATAL
2009
Springer
14 years 2 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ļ...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
ATAL
2007
Springer
14 years 2 months ago
A computational characterization of multiagent games with fallacious rewards
Agents engaged in noncooperative interaction may seek to achieve a Nash equilibrium; this requires that agents be aware of othersā€™ rewards. Misinformation about rewards leads to...
Ariel D. Procaccia, Jeffrey S. Rosenschein
CEEMAS
2003
Springer
14 years 1 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
SAGT
2010
Springer
151views Game Theory» more  SAGT 2010»
13 years 6 months ago
On the Existence of Optimal Taxes for Network Congestion Games with Heterogeneous Users
Abstract. We consider network congestion games in which a ļ¬nite number of non-cooperative users select paths. The aim is to mitigate the ineļ¬ƒciency caused by the selļ¬sh users...
Dimitris Fotakis, George Karakostas, Stavros G. Ko...
INFOCOM
2011
IEEE
12 years 11 months ago
The digital rights management game in peer-to-peer streaming systems
ā€”In this paper we model the digital rights management (DRM) for peer-to-peer streaming (P2PS) systems as a game. We construct the DRM game from both content service provider (CSP...
Jin Zhang, Wei Lou