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» Structure in the Space of Value Functions
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JMLR
2006
116views more  JMLR 2006»
15 years 7 months ago
Point-Based Value Iteration for Continuous POMDPs
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
DCC
2005
IEEE
16 years 7 months ago
Highly Nonlinear Resilient Functions Through Disjoint Codes in Projective Spaces
Functions which map n-bits to m-bits are important cryptographic sub-primitives in the design of additive stream ciphers. We construct highly nonlinear t-resilient such functions (...
Pascale Charpin, Enes Pasalic
SNPD
2003
15 years 8 months ago
Pattern Matching of Parallel Values in Bulk Synchronous Parallel ML
We have designed a functional data-parallel language called BSML for programming bulk-synchronous parallel (BSP) algorithms in so-called direct mode. In a directmode BSP algorithm...
Frédéric Gava, Frédéri...
ICML
2006
IEEE
16 years 1 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
ATVA
2010
Springer
154views Hardware» more  ATVA 2010»
15 years 8 months ago
Lattice-Valued Binary Decision Diagrams
Abstract. This work introduces a new data structure, called Lattice-Valued Binary Decision Diagrams (or LVBDD for short), for the compact representation and manipulation of functio...
Gilles Geeraerts, Gabriel Kalyon, Tristan Le Gall,...