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139
Voted
SIGSOFT
2005
ACM
16 years 4 months ago
2005
ACM
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
142
Voted
NIPS
2004
15 years 5 months ago
2004
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
116
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
124
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ICML
1999
IEEE
16 years 4 months ago
1999
IEEE
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
113
Voted
ATAL
2005
Springer
15 years 9 months ago
2005
Springer
This paper is concerned with personalisation of user agents by symbolic, on-line machine learning techniques. The application of these ideas to an infotainment agent is discussed ...