Search for dissertations about: "sequential decision problem"

Showing result 1 - 5 of 28 swedish dissertations containing the words sequential decision problem.

2. 1. Understanding and Evaluating Policies for Sequential Decision-Making

   Author : Anton Matsson; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Observational data; Sequential decision-making; Reinforcement learning; Off-policy evaluation; Rheumatoid arthritis;

   Abstract : Sequential-decision making is a critical component of many complex systems, such as finance, healthcare, and robotics. The long-term goal of a sequential decision-making process is to optimize the policy under which decisions are made. READ MORE

4. 2. Optimal Sequential Decisions in Hidden-State Models

   Author : Juozas Vaicenavicius; Erik Ekström; Huyên Pham; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; sequential analysis; optimal stopping; optimal liquidation; drift uncertainty; incomplete information; stochastic filtering;

   Abstract : This doctoral thesis consists of five research articles on the general topic of optimal decision making under uncertainty in a Bayesian framework. The papers are preceded by three introductory chapters.Papers I and II are dedicated to the problem of finding an optimal stopping strategy to liquidate an asset with unknown drift. READ MORE

5. 3. Safe, human-like, decision-making for autonomous driving

   Author : Dapeng Liu; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; human-like behaviors.; imitation learning; Autonomous driving; reinforcement learning; decision making; safety;

   Abstract : Autonomous driving technology can significantly improve transportation by saving lives and social costs and increasing traffic efficiency and availability. Decision-making is a critical component of driving ability. Complex traffic environments and interactions between road users bring about many challenges in decision-making. READ MORE

6. 4. Optimisation of Clinical Trials using Bayesian Decision Theory

   Author : Sebastian Jobjörnsson; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; decision theory; drug regulation; ; Bayesian statistics; subgroup analysis; clinical trials; health economics; multiple testing; decision theory;

   Abstract : A decision maker confronted with the task of designing a clinical trial has to consider a multitude of aspects. Large trials lead to more evidence,which in turn makes it less likely that harmful decisions are taken when deciding on future treatments for patients. READ MORE

7. 5. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

   Author : Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

   Abstract : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. READ MORE