11539 search results - page 285 / 2308 » On Learning from Exercises |
162
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ADMI
2009
Springer
16 years 1 months ago
2009
Springer
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
186
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
184
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
201
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ROBOCUP
2004
Springer
16 years 12 hour ago
2004
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
168
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ISCAS
2003
IEEE
15 years 12 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...