1989 search results - page 188 / 398 » Learning to Select Useful Landmarks |
150
click to vote
AAAI
2006
15 years 7 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 ...
154
click to vote
ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
155
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
185
click to vote
IJCNN
2008
IEEE
16 years 25 days ago
2008
IEEE
— Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robo...
167
click to vote
EUROCAST
2007
Springer
16 years 18 days ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...