13784 search results - page 138 / 2757 » On Computing Functions with Uncertainty |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
AIPS
2006
13 years 10 months ago
2006
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
JAIR
2010
13 years 7 months ago
2010
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
ICDE
2002
IEEE
14 years 10 months ago
2002
IEEE
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— This paper considers the problem of PD control of overhead crane in the presence of uncertainty associated with crane dynamics. By using radial basis function neural networks, ...