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AIPS
2010
15 years 6 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
TEC
2008
118views more  TEC 2008»
15 years 4 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
CPAIOR
2009
Springer
15 years 11 months ago
Backdoors to Combinatorial Optimization: Feasibility and Optimality
There has been considerable interest in the identification of structural properties of combinatorial problems that lead, directly or indirectly, to the development of efficient al...
Bistra N. Dilkina, Carla P. Gomes, Yuri Malitsky, ...
EOR
2007
101views more  EOR 2007»
15 years 4 months ago
Optimizing an objective function under a bivariate probability model
The motivation of this paper is to obtain an analytical closed form of a quadratic objective function arising from a stochastic decision process with bivariate exponential probabi...
Xavier Brusset, Nico M. Temme
152
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EUROCAST
2007
Springer
159views Hardware» more  EUROCAST 2007»
15 years 8 months ago
Ant Colony Optimization for Model Checking
Abstract Model Checking is a well-known and fully automatic technique for checking software properties, usually given as temporal logic formulas on the program variables. Most of m...
Enrique Alba, J. Francisco Chicano