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ATAL
2006
Springer
13 years 11 months ago
Learning to commit in repeated games
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Stéphane Airiau, Sandip Sen
INFFUS
2010
121views more  INFFUS 2010»
13 years 6 months ago
The statistical mechanics of belief sharing in multi-agent systems
- Many exciting, emerging applications require that a group of agents share a coherent view of the world given spatial distribution, incomplete and uncertain sensors, and communica...
Robin Glinton, Katia P. Sycara, David Scerri, Paul...
IAT
2009
IEEE
13 years 5 months ago
Adapting Recommendations Organization to User Preferences
-- Given the overwhelming information appearing in the current web environment, recommendations have been increasingly applied to assist users in handling with the information over...
Li Chen
PODC
1999
ACM
13 years 12 months ago
Optimal, Distributed Decision-Making: The Case of no Communication
We present a combinatorial framework for the study of a natural class of distributed optimization problems that involve decisionmaking by a collection of n distributed agents in th...
Marios Mavronicolas, Paul G. Spirakis
AAAI
2010
13 years 9 months ago
Envy Quotes and the Iterated Core-Selecting Combinatorial Auction
Using a model of agent behavior based around envy-reducing strategies, we describe an iterated combinatorial auction in which the allocation and prices converge to a solution in t...
Abraham Othman, Tuomas Sandholm