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AI
2002
Springer
13 years 6 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
ICALP
2009
Springer
14 years 1 months ago
Qualitative Concurrent Stochastic Games with Imperfect Information
Abstract. We study a model of games that combines concurrency, imperfect information and stochastic aspects. Those are finite states games in which, at each round, the two players...
Vincent Gripon, Olivier Serre
MOR
2006
79views more  MOR 2006»
13 years 6 months ago
The Value of Markov Chain Games with Lack of Information on One Side
We consider a two-player zero-sum game given by a Markov chain over a finite set of states K and a family of zero-sum matrix games (Gk)kK. The sequence of states follows the Marko...
Jérôme Renault
ICGA
2006
83views Optimization» more  ICGA 2006»
13 years 6 months ago
A Tool for the Direct Assessment of Poker Decisions
The element of luck permeates every aspect of the game of poker. Random stochastic outcomes introduce a large amount of noise that can make it very difficult to distinguish a good...
Darse Billings, Morgan Kan
NN
2006
Springer
140views Neural Networks» more  NN 2006»
13 years 6 months ago
Neural mechanism for stochastic behaviour during a competitive game
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...
Alireza Soltani, Daeyeol Lee, Xiao-Jing Wang