81 search results - page 9 / 17 » Optimization of Chemical Processes Under Uncertainty |
134
Voted
IJCAI
2007
15 years 5 months ago
2007
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
138
Voted
CCE
2004
15 years 3 months ago
2004
In this paper we provide a general classification of mathematical optimization problems, followed by a matrix of applications that shows the areas in which these problems have bee...
120
Voted
IOR
2006
15 years 3 months ago
2006
The paper considers robust optimization to cope with uncertainty about the stock return process in one period option hedging problems. The robust approach relates portfolio choice ...
141
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We consider the robust beamforming problem under imperfect channel state information (CSI) subject to SINR constraints in a downlink multiuser MISO system. One popular approach to...
134
Voted
ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...