377 search results - page 2 / 76 » Optimizing Production Manufacturing Using Reinforcement Lear... |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
WSC
2008
13 years 7 months ago
2008
This paper deals with the problem of determining the optimal inspection strategy for a multi-stage production process using simulation optimization. An optimal inspection strategy...
GECCO
2011
Springer
12 years 8 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
ICAC
2008
IEEE
13 years 11 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...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Optimizing combinations of placements of parts, known as markers, is an important preparatory step in order-based industrial production of clothes. Given a work order in the form ...