82 search results - page 8 / 17 » Balancing Exploration and Exploitation in Learning to Rank O... |
168
click to vote
ICML
2006
IEEE
16 years 6 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
167
click to vote
ISPASS
2009
IEEE
2009
IEEE
Machine learning based online performance prediction for runtime parallelization and task scheduling
16 years 25 days ago
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
171
click to vote
COLT
2008
Springer
15 years 7 months ago
2008
Springer
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
169
click to vote
IJCAI
2007
15 years 7 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
152
click to vote
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Studies support the need for high resolution imagery to identify persons in surveillance videos[13]. However, the use of telephoto lenses sacrifices a wider field of view and ther...