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NIPS
2003
13 years 9 months ago
Learning Near-Pareto-Optimal Conventions in Polynomial Time
We study how to learn to play a Pareto-optimal strict Nash equilibrium when there exist multiple equilibria and agents may have different preferences among the equilibria. We focu...
Xiao Feng Wang, Tuomas Sandholm
HICSS
2009
IEEE
94views Biometrics» more  HICSS 2009»
14 years 2 months ago
Enhancing Learning Experiences in Partially Distributed Teams: Training Students to Work Effectively Across Distances
Three training modules were designed to decrease ingroup dynamics in Partially Distributed Teams, which have two or more geographically separated subteams. The action research ori...
Rosalie J. Ocker, Dana Kracaw, Starr Roxanne Hiltz...
IJWGS
2007
88views more  IJWGS 2007»
13 years 7 months ago
Lessons learned through driving science applications in the PRAGMA grid
: This paper describes the coordination, design and implementation of the PRAGMA Grid. Applications in genomics, quantum mechanics, climate simulation, organic chemistry and molecu...
Cindy Zheng, Mason J. Katz, Philip M. Papadopoulos...
ATAL
2008
Springer
13 years 9 months ago
A few good agents: multi-agent social learning
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
Jean Oh, Stephen F. Smith
ATAL
2010
Springer
13 years 8 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...