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» Global Optimization for Value Function Approximation
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VLDB
1998
ACM
101views Database» more  VLDB 1998»
14 years 26 days ago
On Optimal Node Splitting for R-trees
The problem of finding an optimal bipartition of a rectangle set has a direct impact on query performance of dynamic R-trees. During update operations, overflowed nodes need to be...
Yván J. García, Mario A. Lopez, Scot...
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
A Convergent Online Single Time Scale Actor Critic Algorithm
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Dotan Di Castro, Ron Meir
CORR
2011
Springer
167views Education» more  CORR 2011»
13 years 3 months ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 1 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
DIS
2008
Springer
13 years 10 months ago
Active Learning for High Throughput Screening
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...
Kurt De Grave, Jan Ramon, Luc De Raedt