3114 search results - page 249 / 623 » Distributed Case-Based Learning |
144
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ATAL
2005
Springer
15 years 7 months ago
2005
Springer
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
137
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AMEC
2003
Springer
15 years 7 months ago
2003
Springer
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
114
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MCS
2009
Springer
15 years 6 months ago
2009
Springer
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
100
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FOCS
1994
IEEE
15 years 6 months ago
1994
IEEE
We show that two cooperating robots can learn exactly any strongly-connected directed graph with n indistinguishable nodes in expected time polynomial in n. We introduce a new typ...
116
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CIARP
2006
Springer
15 years 3 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...