10054 search results - page 121 / 2011 » On the Complexity of Function Learning |
ICALT
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper describes how a knowledge model allows training software to evaluate spatial cognitive maps and provide tailored assistance.
107
Voted
AII
1989
15 years 4 months ago
1989
This paper surveys recent results concerning the inference of deterministic finite automata (DFAs). The results discussed determine the extent to which DFAs can be feasibly inferr...
AUSAI
2005
Springer
15 years 6 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
93
Voted
AR
2006
15 years 18 days ago
2006
Cognitive scientists and developmental psychologists have suggested that development in perceptual, motor and memory functions of human infants as well as adaptive evaluation by ca...
101
Voted
IWANN
1999
Springer
15 years 4 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...