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ATAL
2006
Springer
15 years 10 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
ATAL
2008
Springer
15 years 8 months ago
GS3 and Tartanian: game theory-based heads-up limit and no-limit Texas Hold'em poker-playing programs
We demonstrate two game theory-based programs for headsup limit and no-limit Texas Hold'em poker. The first player, GS3, is designed for playing limit Texas Hold'em, in ...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...
SIGECOM
2003
ACM
122views ECommerce» more  SIGECOM 2003»
15 years 11 months ago
k-Implementation
This paper discusses an interested party who wishes to influence the behavior of agents in a game (multi-agent interaction), which is not under his control. The interested party ...
Dov Monderer, Moshe Tennenholtz
ACMACE
2007
ACM
15 years 10 months ago
Tangible interfaces for real-time 3D virtual environments
Emergent game formats, such as machinima, that use game worlds as expressive 3D performance spaces have new expressive powers with an increase of the quality of their underlying g...
Ali Mazalek, Michael Nitsche
ATAL
2008
Springer
15 years 8 months ago
Strategic betting for competitive agents
In many multiagent settings, each agent's goal is to come out ahead of the other agents on some metric, such as the currency obtained by the agent. In such settings, it is no...
Liad Wagman, Vincent Conitzer