64 search results - page 8 / 13 » Multi-Agent Learning with Policy Prediction |
NIPS
2001
14 years 8 days ago
2001
Tangential hand velocity profiles of rapid human arm movements often appear as sequences of several bell-shaped acceleration-deceleration phases called submovements or movement un...
TCAD
2010
13 years 5 months ago
2010
- This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state...
ATAL
2010
Springer
14 years 6 hour ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
ARGMAS
2006
Springer
14 years 2 months ago
2006
Springer
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
FGCS
2007
13 years 10 months ago
2007
: Metaschedulers in the Grid needs dynamic information to support their scheduling decisions. Job response time on computing resources, for instance, is such a performance metric. ...