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ICML
2008
IEEE
14 years 8 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, ...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 5 days ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
BMCBI
2004
323views more  BMCBI 2004»
13 years 7 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
SAINT
2005
IEEE
14 years 1 months ago
A Matrix Pattern Compliant Strong Stochastic Bound
Stochastic bounds are a promising method to analyze QoS requirements. Indeed it is sufficient to prove that a bound of the real performance satisfies the guarantee. However, the...
Ana Busic, Jean-Michel Fourneau
ICALP
2009
Springer
14 years 7 months ago
A Survey of Stochastic Games with Limsup and Liminf Objectives
A stochastic game is a two-player game played on a graph, where in each state the successor is chosen either by one of the players, or according to a probability distribution. We s...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...