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HICSS
1996
IEEE
102views Biometrics» more  HICSS 1996»
13 years 11 months ago
Evaluation of Parallel Logic Simulation Using DVSIM
Parallel simulation is expected to speed up simulation run time in a signi cant way. This paper describes a framework that is used to evaluate the performance of parallel simulati...
Gerd Meister
AAMAS
2007
Springer
13 years 7 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
PPOPP
2005
ACM
14 years 1 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
BIRTHDAY
2003
Springer
14 years 24 days ago
Parallel Digital Halftoning by Error-Diffusion
Digital halftoning, or dithering, is the technique commonly used to render a color or grayscale image on a printer, a computer monitor or other bi-level displays. A particular hal...
Panagiotis Takis Metaxas