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» Abstraction in Predictive State Representations
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AMAST
2006
Springer
15 years 1 months ago
State Space Representation for Verification of Open Systems
Abstract. When designing an open system, there might be no implementation available for certain components at verification time. For such systems, verification has to be based on a...
Irem Aktug, Dilian Gurov
ICML
2009
IEEE
15 years 10 months ago
Predictive representations for policy gradient in POMDPs
We consider the problem of estimating the policy gradient in Partially Observable Markov Decision Processes (POMDPs) with a special class of policies that are based on Predictive ...
Abdeslam Boularias, Brahim Chaib-draa
IPSN
2004
Springer
15 years 3 months ago
Distributed state representation for tracking problems in sensor networks
This paper investigates the problem of designing decentralized representations to support monitoring and inferences in sensor networks. State-space models of physical phenomena su...
Juan Liu, Maurice Chu, Jie Liu, Jim Reich, Feng Zh...
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
15 years 2 months ago
Balanced state-space representations: a polynomial algebraic approach
Abstract— We show how to compute a minimal Riccatibalanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly...
Paolo Rapisarda, Harry L. Trentelman
ACSC
2008
IEEE
14 years 11 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish