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CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
14 years 10 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper
ICDIM
2010
IEEE
14 years 7 months ago
High-order functions and their ordering relations
High-order functions are the sole elements in a class of recursive functions. The functions are related to each other through application, i.e., applying a function to an argument...
Kevin H. Xu, Jingsong Zhang, Shelby Gao
ICML
2006
IEEE
15 years 3 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
AAMAS
2007
Springer
14 years 10 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
MOC
2002
73views more  MOC 2002»
14 years 9 months ago
Evaluation of zeta function of the simplest cubic field at negative odd integers
Abstract. In this paper, we are interested in the evaluation of the zeta function of the simplest cubic field. We first introduce Siegel's formula for values of the zeta funct...
Hyun Kwang Kim, Jung Soo Kim