813 search results - page 2 / 163 » Ensemble Algorithms in Reinforcement Learning |
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
CORR
1998
Springer
13 years 4 months ago
1998
Springer
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
SAB
2010
Springer
13 years 3 months ago
2010
Springer
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...