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Visar resultat 1 - 5 av 25 avhandlingar som matchar ovanstående sökkriterier.
1. Minimax Approaches to Robust Model Predictive Control
Sammanfattning : Controlling a system with control and state constraints is one of the most important problems in control theory, but also one of the most challenging. Another important but just as demanding topic is robustness against uncertainties in a controlled system. LÄS MER
2. Priors and uncertainty in reinforcement learning
Sammanfattning : Handling uncertainty is an important part of decision-making. Leveraging uncertainty for guiding exploration to discover higher rewards has been a standard approach for a long time, using both ad hoc and more principled approaches. LÄS MER
3. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms
Sammanfattning : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. LÄS MER
4. Minimax problems for some nonlinear differential operators
Sammanfattning : .... LÄS MER
5. An Analysis of Consequences of Land Evaluation and Path Optimization
Sammanfattning : Planners who are involved in locational decision making often use raster-based geographic information systems (GIS) to quantify the value of land in terms of suitability or cost for a certain use. From a computational point of view, this process can be seen as a transformation of one or more sets of values associated with a grid of cells into another set of such values through a function reflecting one or more criteria. LÄS MER