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AAMAS
2007
Springer
15 years 5 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
108
Voted
EOR
2007
87views more  EOR 2007»
15 years 4 months ago
An optimal and scalable parallelization of the two-list
In this paper, we suggest a parallel algorithm based on a shared memory SIMD architecture for solving an n item subset-sum problem in time O(2n/2 /p) by using p = 2q processors, 0...
Carlos Alberto Alonso Sanches, Nei Yoshihiro Soma,...
HPDC
1993
IEEE
15 years 9 months ago
A Parallel Object-Oriented Framework for Stencil Algorithms
Wepresent an object-oriented framework for constructing parallel implementations of stencil algorithms. This framework simplifres the development process by encapsulating the comm...
John F. Karpovich, Matthew Judd, W. Timothy Straye...
CLUSTER
2006
IEEE
15 years 11 months ago
Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing sy...
Antonio J. Plaza
CGI
1998
IEEE
15 years 9 months ago
An Anti-Aliasing Method for Parallel Rendering
This paper describes a parallel rendering method based on the adaptive supersampling technique to produce anti-aliased images with minimal memory consumption. Unlike traditional s...
Sam Lin, Rynson W. H. Lau, Xiaola Lin, Paul Y. S. ...