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» Solving Hierarchical Optimization Problems Using MOEAs
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AAAI
2008
15 years 5 months ago
Anytime Local Search for Distributed Constraint Optimization
Most former studies of Distributed Constraint Optimization Problems (DisCOPs) search considered only complete search algorithms, which are practical only for relatively small prob...
Roie Zivan
109
Voted
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
15 years 9 months ago
Lazy localization using the Frozen-Time Smoother
— We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is ‘frozen’, in the sense that the belief always refers to th...
Andrea Censi, Gian Diego Tipaldi
ATAL
2008
Springer
15 years 5 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
123
Voted
COR
2010
110views more  COR 2010»
15 years 3 months ago
An evolutionary method for complex-process optimization
In this paper we present a new evolutionary method for complex-process optimization. It is partially based on principles of the scatter search methodology, but it makes use of inn...
Jose A. Egea, Rafael Martí, Julio R. Banga
119
Voted
ICML
2007
IEEE
16 years 4 months ago
Regression on manifolds using kernel dimension reduction
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
Jens Nilsson, Fei Sha, Michael I. Jordan