162 search results - page 9 / 33 » Off-Policy Temporal Difference Learning with Function Approx... |
162
Voted
NCA
2008
IEEE
15 years 2 months ago
2008
IEEE
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
123
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ECAI
2006
Springer
15 years 6 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 ...
123
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ATAL
2008
Springer
15 years 4 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
217
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Book
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc.
The book covers the following topics: Boolean Functio...