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ICALP
2007
Springer
15 years 5 months ago
Perfect Information Stochastic Priority Games
We introduce stochastic priority games — a new class of perfect information stochastic games. These games can take two different, but equivalent, forms. In stopping priority ga...
Hugo Gimbert, Wieslaw Zielonka
SIAMJO
2008
97views more  SIAMJO 2008»
14 years 11 months ago
New Formulations for Optimization under Stochastic Dominance Constraints
Stochastic dominance constraints allow a decision-maker to manage risk in an optimization setting by requiring their decision to yield a random outcome which stochastically domina...
James Luedtke
ICALP
2005
Springer
15 years 5 months ago
Noisy Turing Machines
Abstract. Turing machines exposed to a small stochastic noise are considered. An exact characterisation of their (≈ Π0 2 ) computational power (as noise level tends to 0) is obt...
Eugene Asarin, Pieter Collins
CP
2004
Springer
15 years 5 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
FOCS
2005
IEEE
15 years 5 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys