81 search results - page 13 / 17 » Optimization of Chemical Processes Under Uncertainty |
MOR
2007
13 years 9 months ago
2007
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
AAAI
2012
12 years 5 days ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
AAAI
2006
13 years 11 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
AIPS
2009
13 years 11 months ago
2009
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
EXPERT
2011
13 years 1 months ago
2011
—With the rapid development of the electricity market, both grid and market operations need to be carefully coordinated and monitored in real time. This paper focuses on system m...