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NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 7 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
AUTOMATICA
2005
126views more  AUTOMATICA 2005»
15 years 7 months ago
Relations between uncertainty structures in identification for robust control
Various techniques of system identification exist that provide a nominal model and an uncertainty bound. An important question is what the implications are for the particular choi...
Sippe G. Douma, Paul M. J. Van den Hof
IVC
2007
114views more  IVC 2007»
15 years 7 months ago
Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views
We introduce a convex relaxation approach for the quadratic assignment problem to the field of computer vision. Due to convexity, a favourable property of this approach is the ab...
Christian Schellewald, Stefan Roth, Christoph Schn...
CAV
2009
Springer
181views Hardware» more  CAV 2009»
16 years 7 months ago
Size-Change Termination, Monotonicity Constraints and Ranking Functions
Abstract. Size-change termination involves deducing program termination based on the impossibility of infinite descent. To this end we may use m abstraction in which transitions ar...
Amir M. Ben-Amram
CIE
2007
Springer
16 years 1 months ago
Computational Complexity of Constraint Satisfaction
Abstract. The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations o...
Heribert Vollmer