منابع مشابه
Search Space Reduction and Russian Doll Search
In a constraint optimization problem (COP), many feasible valuations lead to the same objective value. This often means a huge search space and poor performance in the propagation between the objective and problem variables. In this paper, we propose a different modeling and search strategy which focuses on the cost function. We show that by constructing a dual model on the objective variables,...
متن کاملSearch Space Extraction
Systematic tree search is often used in conjunction with inference and restarts when solving challenging Constraint Satisfaction Problems (CSPs). In order to improve the efficiency of constraint solving, techniques that learn during search, such as constraint weighting and nogood learning, have been proposed. Constraint weights can be used to guide heuristic choices. Nogood assignments can be a...
متن کاملPhased State Space Search
PS*, a new sequential tree searching algorithm based on the State Space Search (SSS*), is presented. PS*(k) divides each MAX node of a game tree into k partitions, which are then searched in sequence. By this means two major disadvantages of SSS*, storage demand and maintenance overhead, are significantly reduced, and yet the corresponding increase in nodes visited is not so great even in the r...
متن کاملFree Search in Multidimensional Space
One of the challenges for modern search methods is resolving multidimensional tasks where optimization parameters are hundreds, thousands and more. Many evolutionary, swarm and adaptive methods, which perform well on numerical test with up to 10 dimensions are suffering insuperable stagnation when are applied to the same tests extended to 50, 100 and more dimensions. This article presents an or...
متن کاملSparse Latent Space Policy Search
Computational agents often need to learn policies that involve many control variables, e.g., a robot needs to control several joints simultaneously. Learning a policy with a high number of parameters, however, usually requires a large number of training samples. We introduce a reinforcement learning method for sampleefficient policy search that exploits correlations between control variables. S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Reviews Genetics
سال: 2013
ISSN: 1471-0056,1471-0064
DOI: 10.1038/nrg3476