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QEST
2007
IEEE
14 years 2 months ago
Performance Trees: Expressiveness and Quantitative Semantics
—Performance Trees are a recently-proposed mechanism for the specification of performance properties and measures. They represent an attractive alternative to stochastic logics,...
Tamas Suto, Jeremy T. Bradley, William J. Knottenb...
AMC
2008
86views more  AMC 2008»
13 years 7 months ago
Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for...
Muneomi Sagara, Hiroaki Mukaidani, Toru Yamamoto
CG
2006
Springer
13 years 9 months ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
CIG
2005
IEEE
13 years 9 months ago
Monte Carlo Planning in RTS Games
Abstract- Monte Carlo simulations have been successfully used in classic turn–based games such as backgammon, bridge, poker, and Scrabble. In this paper, we apply the ideas to th...
Michael Chung, Michael Buro, Jonathan Schaeffer
ATAL
2007
Springer
14 years 1 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa