847 search results - page 18 / 170 » Learning Action Selection Network of Intelligent Agent |
ATAL
2009
Springer
14 years 9 months ago
2009
Springer
This paper is motivated by some recent, intriguing research results involving agent-organized networks (AONs). In AONs, nodes represent agents, and collaboration between nodes are...
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...
AAAI
2008
15 years 2 months ago
2008
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
113
click to vote
AGI
2008
15 years 1 months ago
2008
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
ECBS
2002
IEEE
15 years 4 months ago
2002
IEEE
Network security has now become one of the most important aspects in computer systems and the Internet. Apart from strong encryption, there is no definite method of truly securing...