50 search results - page 9 / 10 » Nonparametric Return Distribution Approximation for Reinforc... |
TSMC
2008
13 years 7 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
SASO
2008
IEEE
14 years 2 months ago
2008
IEEE
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we pr...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In this paper we study stochastic dynamic games with many players that are relevant for a wide range of social, economic, and engineering applications. The standard solution conce...
JAIR
1998
13 years 7 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
IPSN
2010
Springer
14 years 2 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...