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NIPS
2008
14 years 11 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
WSC
2004
14 years 11 months ago
On-Demand Computation of Policy Based Routes for Large-Scale Network Simulation
Routing table storage demands pose a significant obstacle for large-scale network simulation. On-demand computation of routes can alleviate those problems for models that do not r...
Michael Liljenstam, David M. Nicol
WSCG
2004
95views more  WSCG 2004»
14 years 11 months ago
Wave Height Forecasting Using Cascade Correlation Neural Network
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...
Hamidreza Rashidy Kanan, Karim Faez
IJCAI
1997
14 years 11 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
NIPS
1996
14 years 11 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss