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ATAL
2011
Springer
14 years 6 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
CEC
2011
IEEE
14 years 6 months ago
Accelerating convergence towards the optimal pareto front
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vranck...
SIGMOD
2005
ACM
99views Database» more  SIGMOD 2005»
16 years 6 months ago
Query answering exploiting structural properties
We review the notion of hypertree width, a measure of the degree of cyclicity of hypergraphs that is useful for identifying and solving efficiently easy instances of hard problems...
Francesco Scarcello
CP
2009
Springer
16 years 1 months ago
Exploiting Problem Decomposition in Multi-objective Constraint Optimization
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Radu Marinescu
FUZZIEEE
2007
IEEE
16 years 24 days ago
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
Jürgen Beringer, Eyke Hüllermeier