177 search results - page 18 / 36 » Learning complex problem solving expertise from failures |
115
Voted
ECAI
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
110
Voted
DCOSS
2005
Springer
15 years 7 months ago
2005
Springer
In this paper we address a well-known facility location problem (FLP) in a sensor network environment. The problem deals with finding the optimal way to provide service to a (poss...
131
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
98
Voted
CE
2006
15 years 1 months ago
2006
This paper describes a dynamic computer-based business learning environment and the results from applying it in a real-world business organization. We argue for using learning too...
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...