1325 search results - page 21 / 265 » Algorithm Selection using Reinforcement Learning |
118
click to vote
AUSAI
2005
Springer
15 years 7 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
107
click to vote
ESOA
2006
15 years 5 months ago
2006
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
114
Voted
VLSID
2005
IEEE
15 years 7 months ago
2005
IEEE
The primary advantage of using 3D-FPGA over 2D-FPGA is that the vertical stacking of active layers reduce the Manhattan distance between the components in 3D-FPGA than when placed...
103
click to vote
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...
120
click to vote
ICML
1999
IEEE
16 years 2 months ago
1999
IEEE
Consider the task of exploring the Web in order to find pages of a particular kind or on a particular topic. This task arises in the construction of search engines and Web knowled...