779 search results - page 15 / 156 » Reinforcement Using Supervised Learning for Policy Generaliz... |
ICMLA
2008
13 years 9 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
NECO
2010
13 years 6 months ago
2010
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
KES
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we propose a financial trading system whose strategy is developed by means of an artificial neural network approach based on a recurrent reinforcement learning algo...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
INTERSPEECH
2010
13 years 2 months ago
2010
This overview article reviews the structure of a fully statistical spoken dialogue system (SDS), using as illustration, various systems and components built at Cambridge over the ...