377 search results - page 7 / 76 » Optimizing Production Manufacturing Using Reinforcement Lear... |
ICAART
2010
INSTICC
14 years 4 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
CCGRID
2008
IEEE
14 years 1 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...
AI
2002
Springer
13 years 7 months ago
2002
Springer
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
ISPE
2003
13 years 8 months ago
2003
ABSTRACT: Knowledge systems for scientific and engineering endeavors must be able to insure the accuracy, completeness, and validity of their contents. When designed as such, these...
GECCO
2003
Springer
14 years 17 days ago
2003
Springer
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...