177 search results - page 18 / 36 » Learning complex problem solving expertise from failures |
178
Voted
ECAI
2006
Springer
15 years 10 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 ...
173
Voted
DCOSS
2005
Springer
15 years 12 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...
188
Voted
ICML
2009
IEEE
16 years 7 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 ...
144
Voted
CE
2006
15 years 6 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...
149
click to vote
ICML
2003
IEEE
16 years 7 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...