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» Structure in the Space of Value Functions
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JMLR
2006
116views more  JMLR 2006»
13 years 6 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
14 years 6 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
13 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
14 years 21 days 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»
13 years 7 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,...