813 search results - page 121 / 163 » Ensemble Algorithms in Reinforcement Learning |
123
click to vote
ECAI
2008
Springer
15 years 6 months ago
2008
Springer
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
158
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
128
click to vote
ICDM
2002
IEEE
15 years 9 months ago
2002
IEEE
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
132
click to vote
MLDM
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. In the biometric field, different experts are combined to improve the system reliability, as in many application the performance attained by individual experts (i.e., d...
148
click to vote
CORR
2010
Springer
15 years 4 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...