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ISPE
2003
13 years 6 months ago
Coordination in utility managed multi-agent groups
A two stage approach to co-ordination in a multi-agent society is presented. The first stage involves agents learning to co-ordinate their activities based on local and global uti...
Fernanda Barbosa, José C. Cunha, Omer F. Ra...
IJCNN
2006
IEEE
13 years 11 months ago
Reinforcement Learning for Parameterized Motor Primitives
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
Jan Peters, Stefan Schaal
CCGRID
2001
IEEE
13 years 8 months ago
Charging Distributed Services of a Computational Grid Architecture
Charging of services in a distributed system will become more and more important for systems which are utilized commercially. Such an important distributed system exists in form o...
Burkhard Stiller, Jan Gerke, Placi Flury, Peter Re...
NIPS
2007
13 years 6 months ago
Receding Horizon Differential Dynamic Programming
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
Yuval Tassa, Tom Erez, William D. Smart
HPDC
2009
IEEE
13 years 8 months ago
Maestro: a self-organizing peer-to-peer dataflow framework using reinforcement learning
In this paper we describe Maestro, a dataflow computation framework for Ibis, our Java-based grid middleware. The novelty of Maestro is that it is a self-organizing peer-to-peer s...
C. van Reeuwijk