38 search results - page 7 / 8 » Improving reinforcement learning function approximators via ... |
JCP
2007
13 years 4 months ago
2007
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
ICAC
2006
IEEE
13 years 11 months ago
2006
IEEE
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
ICMLA
2009
13 years 2 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...