377 search results - page 56 / 76 » Optimizing Production Manufacturing Using Reinforcement Lear... |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
MICAI
2010
Springer
13 years 6 months ago
2010
Springer
The full deployment of service robots in daily activities will require the robot to adapt to the needs of non-expert users, particularly, to learn how to perform new tasks from “...
AAAI
2008
13 years 10 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
ECAI
2006
Springer
14 years 3 days 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 ...
ICDM2
2004
Springer
14 years 1 months ago
2004
Springer
Vehicle production audit tests, warranty claims and car control unit data are stored in a central data warehouse for data mining analysis. Neural network based part failure rate es...