509 search results - page 19 / 102 » Compositional Models for Reinforcement Learning |
CSL
2012
Springer
12 years 3 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
KCAP
2009
ACM
14 years 2 months ago
2009
ACM
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
ACMACE
2007
ACM
13 years 11 months ago
2007
ACM
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
ICMLA
2010
13 years 5 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
PDPTA
2003
13 years 9 months ago
2003
— In this paper we present a library of classes for programming reinforcement learning simulations in Java. This library is based upon the standard by Sutton and Santamaria [1], ...