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AAAI
1998
15 years 5 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
IJCAI
2007
15 years 5 months ago
Emergence of Norms through Social Learning
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a...
Sandip Sen, Stéphane Airiau
AI
2004
Springer
15 years 9 months ago
Multi-attribute Decision Making in a Complex Multiagent Environment Using Reinforcement Learning with Selective Perception
Abstract. Choosing between multiple alternative tasks is a hard problem for agents evolving in an uncertain real-time multiagent environment. An example of such environment is the ...
Sébastien Paquet, Nicolas Bernier, Brahim C...
DAGSTUHL
2007
15 years 5 months ago
Incentive Compatible Regression Learning
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
FS
2006
135views more  FS 2006»
15 years 4 months ago
Asymmetric Information in Fads Models
Fads models were introduced by Shiller (1984) and Summers (1986) as plausible alternatives to the efficient markets/constant expected returns assumptions. Under these models, loga...
Paolo Guasoni