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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
IMA
2001
Springer
80views Cryptology» more  IMA 2001»
14 years 3 days ago
Spectrally Bounded Sequences, Codes, and States: Graph Constructions and Entanglement
A recursive construction is provided for sequence sets which possess good Hamming Distance and low Peak-to-Average Power Ratio (PAR) under any Local Unitary Unimodular Transform. W...
Matthew G. Parker
ICPR
2004
IEEE
14 years 8 months ago
Linear Discriminant Analysis and Discriminative Log-linear Modeling
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...
Daniel Keysers, Hermann Ney
DAC
2008
ACM
14 years 8 months ago
Formal datapath representation and manipulation for implementing DSP transforms
We present a domain-specific approach to representing datapaths for hardware implementations of linear signal transform algorithms. We extend the tensor structure for describing l...
Franz Franchetti, James C. Hoe, Markus Püsche...
ICCV
2003
IEEE
14 years 9 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...