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» Learning to Play Games in Extensive Form by Valuation
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ATAL
2010
Springer
13 years 6 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings
AI
2007
Springer
13 years 11 months ago
Competition and Coordination in Stochastic Games
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
Andriy Burkov, Abdeslam Boularias, Brahim Chaib-dr...
INTERACT
2007
13 years 6 months ago
Playful Probing: Making Probing More Fun
We present a methodological variation of cultural probing called playful probing. In playful probing games are developed according to the area investigated, to enhance participants...
Regina Bernhaupt, Astrid Weiss, Marianna Obrist, M...
DIGRA
2005
Springer
13 years 10 months ago
Beyond P-1: Who Plays Online?
Academics and industry professionals alike have long been interested in developing a nuanced and empirically sound typography of online gamers. Designers and engineers are aware o...
Avery Alix
ICML
2008
IEEE
14 years 5 months ago
Strategy evaluation in extensive games with importance sampling
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...