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ATAL
2009
Springer
15 years 6 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
15 years 6 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 others’ rewards. Misinformation about rewards leads to...
Ariel D. Procaccia, Jeffrey S. Rosenschein
CEEMAS
2003
Springer
15 years 5 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»
14 years 10 months ago
On the Existence of Optimal Taxes for Network Congestion Games with Heterogeneous Users
Abstract. We consider network congestion games in which a finite number of non-cooperative users select paths. The aim is to mitigate the inefficiency caused by the selfish users...
Dimitris Fotakis, George Karakostas, Stavros G. Ko...
INFOCOM
2011
IEEE
14 years 3 months ago
The digital rights management game in peer-to-peer streaming systems
—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