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IJCAI
2003
15 years 7 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
ICASSP
2010
IEEE
15 years 6 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu
NMA
2010
15 years 4 months ago
Metaheuristics for the Asymmetric Hamiltonian Path Problem
One of the most important applications of the Asymmetric Hamiltonian Path Problem is in scheduling. In this paper we describe a variant of this problem, and develop both a mathemat...
João Pedro Pedroso
ACL
2009
15 years 4 months ago
A Note on the Implementation of Hierarchical Dirichlet Processes
The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring considerable book-keeping. Goldwater et al. (2006a) presented an approx...
Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark ...
FOCM
2011
113views more  FOCM 2011»
15 years 1 months ago
Finite Resolution Dynamics
We develop a new mathematical model for describing a dynamical system at limited resolution (or finite scale), and we give precise meaning to the notion of a dynamical system havi...
Stefano Luzzatto, Pawel Pilarczyk