161 search results - page 6 / 33 » Least Squares SVM for Least Squares TD Learning |
ICML
2010
IEEE
15 years 24 days ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
116
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NIPS
2001
15 years 1 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
89
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GECCO
2008
Springer
15 years 25 days ago
2008
Springer
XCS with computed prediction, namely XCSF, has been recently extended in several ways. In particular, a novel prediction update algorithm based on recursive least squares and the ...
CORR
2008
Springer
14 years 12 months ago
2008
Springer
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
ICML
2006
IEEE
16 years 16 days ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...