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» Approximation algorithms for stochastic orienteering
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103
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ICML
2008
IEEE
16 years 1 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
UAI
2008
15 years 1 months ago
CORL: A Continuous-state Offset-dynamics Reinforcement Learner
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
Emma Brunskill, Bethany R. Leffler, Lihong Li, Mic...
120
Voted
EMSOFT
2007
Springer
15 years 4 months ago
A unified practical approach to stochastic DVS scheduling
This paper deals with energy-aware real-time system scheduling using dynamic voltage scaling (DVS) for energy-constrained embedded systems that execute variable and unpredictable ...
Ruibin Xu, Rami G. Melhem, Daniel Mossé
AAAI
2006
15 years 1 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet
VISUALIZATION
1997
IEEE
15 years 4 months ago
Fast oriented line integral convolution for vector field visualization via the Internet
Oriented Line Integral Convolution (OLIC) illustrates flow fields by convolving a sparse texture with an anisotropic convolution kernel. The kernel is aligned to the underlying ...
Rainer Wegenkittl, Eduard Gröller