81 search results - page 7 / 17 » Optimization of Chemical Processes Under Uncertainty |
AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
14 years 11 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
AUTOMATICA
2006
14 years 10 months ago
2006
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
In this investigation a robotic system’s dynamic performance is optimized for high reliability under uncertainty. The dynamic capability equations allow designers to predict the...
ICTAI
2000
IEEE
15 years 1 months ago
2000
IEEE
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
ECAI
2010
Springer
14 years 11 months ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...