575 search results - page 53 / 115 » Reinforcement Learning State Estimator |
101
click to vote
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
EUROCAST
2007
Springer
15 years 4 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
ICAC
2008
IEEE
15 years 4 months ago
2008
IEEE
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
125
click to vote
BERTINORO
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper describes the application of a decentralised coordination algorithm, called Collaborative Reinforcement Learning (CRL), to two different distributed system pr...
NIPS
2007
14 years 11 months ago
2007
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...