5109 search results - page 264 / 1022 » On Learning Limiting Programs |
169
click to vote
ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
183
click to vote
ALT
2001
Springer
16 years 3 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
160
click to vote
ECTEL
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. The success of recent Web 2.0 platforms shows that people share information and resources within their social community and beyond. The use of these platforms in an e-lea...
175
click to vote
IJCNN
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
188
Voted
AIIA
2007
Springer
16 years 26 days ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...