864 search results - page 18 / 173 » Selective Attention Improves Learning |
113
Voted
ICRA
2005
IEEE
15 years 6 months ago
2005
IEEE
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
105
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PKDD
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
136
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
105
Voted
HEURISTICS
2008
15 years 21 days ago
2008
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
125
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FLAIRS
2004
15 years 2 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...