5860 search results - page 286 / 1172 » Learning and Domain Adaptation |
164
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ACMICEC
2006
ACM
16 years 18 days ago
2006
ACM
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
193
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IWCLS
1999
Springer
15 years 11 months ago
1999
Springer
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
191
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ITS
1998
Springer
15 years 10 months ago
1998
Springer
The growing emphasis on learner-centered education focuses on intrinsically motivated learning via engaging problem-solving activities. Habitable 3D learning environments, in which...
254
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ATAL
2011
Springer
14 years 6 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
202
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ICRA
2010
IEEE
15 years 5 months ago
2010
IEEE
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...