69 search results - page 4 / 14 » Dynamic Scheduling in Petroleum Process using Reinforcement ... |
FLAIRS
1998
13 years 7 months ago
1998
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
AUSAI
2005
Springer
13 years 11 months ago
2005
Springer
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
ICML
2000
IEEE
13 years 10 months ago
2000
IEEE
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
AI
1998
Springer
13 years 5 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
ICAC
2008
IEEE
14 years 14 days 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...