115 search results - page 10 / 23 » Learning hierarchical task networks by observation |
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
AR
2008
13 years 7 months ago
2008
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
ICDM
2003
IEEE
14 years 24 days ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
AVSS
2009
IEEE
13 years 10 months ago
2009
IEEE
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...