451 search results - page 79 / 91 » Approximation algorithms for stochastic orienteering |
ICMLA
2007
13 years 10 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
IJCAI
2007
13 years 10 months ago
2007
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
UAI
2004
13 years 10 months ago
2004
For many real-life Bayesian networks, common knowledge dictates that the output established for the main variable of interest increases with higher values for the observable varia...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
ECAI
2010
Springer
13 years 9 months ago
2010
Springer
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...