167 search results - page 15 / 34 » Incremental reinforcement learning for designing multi-agent... |
RAS
2006
13 years 7 months ago
2006
A class of biped locomotion called Passive Dynamic Walking (PDW) has been recognized to be efficient in energy consumption and a key to understand human walking. Although PDW is s...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
CCGRID
2008
IEEE
14 years 2 months ago
2008
IEEE
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
IJIIDS
2008
13 years 7 months ago
2008
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...