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177
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ATAL
2007
Springer
16 years 27 days ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
163
Voted
ISSAC
2007
Springer
177views Mathematics» more  ISSAC 2007»
16 years 26 days ago
Component-level parallelization of triangular decompositions
We discuss the parallelization of algorithms for solving polynomial systems symbolically by way of triangular decompositions. We introduce a component-level parallelism for which ...
Marc Moreno Maza, Yuzhen Xie
227
Voted
IPPS
2003
IEEE
16 years 2 hour ago
Multi-Paradigm Framework for Parallel Image Processing
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...
David J. Johnston, Martin Fleury, Andy C. Downton
MOBIHOC
2006
ACM
16 years 6 months ago
Distributed localization using noisy distance and angle information
Localization is an important and extensively studied problem in ad-hoc wireless sensor networks. Given the connectivity graph of the sensor nodes, along with additional local info...
Amitabh Basu, Jie Gao, Joseph S. B. Mitchell, Giri...
179
Voted
ISMM
2009
Springer
16 years 1 months ago
Discrete Driver Assistance
Applying computer technology, such as computer vision in driver assistance, implies that processes and data are modeled as being discretized rather than being continuous. The area ...
Reinhard Klette, Ruyi Jiang, Sandino Morales, Tobi...