Sciweavers

37 search results - page 2 / 8
» Optimal Selection of Uncertain Actions by Maximizing Expecte...
Sort
View
DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
13 years 8 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
PUK
2000
13 years 6 months ago
Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection
This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
Jun Miura, Yoshiaki Shirai
ITS
2000
Springer
94views Multimedia» more  ITS 2000»
13 years 8 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn
AAAI
2006
13 years 6 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
ANOR
2007
92views more  ANOR 2007»
13 years 4 months ago
Portfolio selection with probabilistic utility
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...