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» State Space Compression with Predictive Representations
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FLAIRS
2008
13 years 6 months ago
State Space Compression with Predictive Representations
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
ICMLA
2008
13 years 6 months ago
Prediction-Directed Compression of POMDPs
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
NIPS
2003
13 years 5 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
IJCAI
2007
13 years 6 months ago
Relational Knowledge with Predictive State Representations
Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by flat POMDPs). This paper e...
David Wingate, Vishal Soni, Britton Wolfe, Satinde...
DATE
2005
IEEE
171views Hardware» more  DATE 2005»
13 years 10 months ago
Access Pattern-Based Code Compression for Memory-Constrained Embedded Systems
As compared to a large spectrum of performance optimizations, relatively little effort has been dedicated to optimize other aspects of embedded applications such as memory space r...
Ozcan Ozturk, Hendra Saputra, Mahmut T. Kandemir, ...