150 search results - page 14 / 30 » Using multi-agent systems for learning optimal policies for ... |
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
MICAI
2004
Springer
14 years 1 months ago
2004
Springer
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
IJRR
2008
13 years 8 months ago
2008
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
CRV
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...