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» Playing Games without Observing Payoffs
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GLOBECOM
2008
IEEE
14 years 22 days ago
Evolutionary Game Framework for Behavior Dynamics in Cooperative Spectrum Sensing
—Cooperative spectrum sensing has been shown to greatly improve the sensing performance in cognitive radio networks. However, if the cognitive users belong to different service p...
Beibei Wang, K. J. Ray Liu, T. Charles Clancy
AAMAS
2002
Springer
13 years 6 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
FLAIRS
2008
13 years 8 months ago
Reinforcement of Local Pattern Cases for Playing Tetris
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
Houcine Romdhane, Luc Lamontagne
ATAL
2006
Springer
13 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
LAMAS
2005
Springer
13 years 11 months ago
The Success and Failure of Tag-Mediated Evolution of Cooperation
Use of tags to limit partner selection for playing has been shown to produce stable cooperation in agent populations playing the Prisoner’s Dilemma game. There is, however, a lac...
Austin McDonald, Sandip Sen