704 search results - page 82 / 141 » Improved Learning of AC0 Functions |
81
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
126
Voted
NCA
2010
IEEE
15 years 2 months ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
167
Voted
JMLR
2010
14 years 10 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
156
Voted
ICML
2007
IEEE
16 years 4 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 ...
100
Voted
COLT
2008
Springer
15 years 5 months ago
2008
Springer
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...