Osion kuvaus

  • Program

    Date Presenter Pres.-# Topic & slides (slide template) Material Home assignment model solution
    18.9. Antti Punkka 0 Introduction of the seminar: working principles, etc. (slides) - -
    18.9. Jussi Leppinen  1 Decision Trees and Bayesian Networks (slides)

    Jensen (2001)

    		 template,
    model solution
    18.9. Kalle Alaluusua  2 Influence Diagrams (slides)
    		 Howard and Matheson (2005) model solution
    25.9. Walter Rehn 3 Utility theory: elicitation of utility functions, risk attitudes, stochastic dominance (slides)
    		 Eisenführ et al. (2010), pp. 235-273 model solution
    25.9. Tommi Summanen 4 Applications: Bayesian networks (slides) Jing and Jingqi (2012)
    Marcot et al. (2001)
    		 model solution
    2.10. Emil af Björkensten 5 Markov chains and key ideas of Markov decision processes (slides) Leskelä (2018) pp. 15-33, Puteman (1994) pp. 1-32 model solution
    2.10. Alvar Kallio 6 Utilization of optimization models in decision trees: the Contingent portfolio programming method (slides) Gustafsson and Salo (2005) template
    model solution
    9.10. Tuuli Aaltonen 7 A method for scenario-based portfolio selection of investment projects with incomplete probability and utility information (slides) Liesiö and Salo (2012) model solution
    9.10. Hilkka Hännikäinen 8 The Dynamic Programming algorithm (slides) Bertsekas (2000), pp.2-43 model solution
    16.10. Petri Määttä 9 Application: Operationalization of Utilitarian and Egalitarian Objectives for Optimal Allocation of Health Care Resources (slides) Hynninen et al. (2020) model solution
    16.10. Emil Nyman 10 The shortest path problem (slides) Bertsekas (2000), pp. 58-90 model solution
    30.10. Jessica Norrbäck 11 Discounted problems - theory (slides)
    		 Bertsekas (2012), pp. 3-32 template, model solution
    30.10. Ville Tuominen 12 Value iteration method for solving Markov decision processes (slides) Bertsekas (2012), pp. 82-97, Howard (1960), pp. 26-31 template, model solution
    6.11. Einari Tuukkanen 13 Policy iteration (+LP) method for solving Markov decision processes (slides)
    		 Bertsekas (2012), pp. 97-114, Howard (1960), pp. 32-59 model solution
    6.11. Kalle Alaluusua 14
    		 Application of policy iteration to strategic maintenance scheduling (slides)
    		 Leppinen (2020) model solution
    6.11. Jussi Leppinen 15 Application: Partially Observable Markov Decision Processes (slides)
    		 Corotis et al. (2005) model solution
    13.11. Walter Rehn 16 Application of a TSP variant to chemical shipping (slides) Elgesem et al. (2018) template, model solution
    13.11. Tommi Summanen 17 Decision recommendations with help of simulation-based algorithms (slides) Sutton & Barto (2018) pp. 91-116
    		 templates, model solution
    13.11. Alvar Kallio 18 Stochastic shortest path problem - theory and value iteration (slides)
    		 Bertsekas (2012) pp. 172-189 template, model solution
    20.11. Tuuli Aaltonen 19
    		 Application: Comparison of maintenance policies with help of fault simulations (slides)
    		 Urbani et al. (2020)
    		 model solution
    20.11. Emil af Björkensten 20 Application: Partially observable markov decision process in health care (slides)
    		 Hauskrecht and Fraser (2000)
    		 template, model solution
    20.11. Hilkka Hännikäinen 21 Application: Risk-based optimization of pipe inspections in large underground networks (slides) Mancuso et al. (2016) template, model solution
    27.11. Jessica Norrbäck 22 Semi-Markov decision processes - an application in maintenance (slides) Chen and Trivedi (2005) model solution
    27.11. Petri Määttä
    		 23 Semi-Markov decision processes - yet another application in transportation (slides) Seidscher and Minner (2013) model solution
    27.11. Emil Nyman 24 Continuous-Time Markov decision processes - an application in power management (slides)
    		 Qiu and Pedram (1999) model solution
    4.12. Ville Tuominen 25
    		 An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application (slides) Simao et al. (2009) model solution
    4.12. Einari Tuukkanen 26 Solving the dynamic ambulance relocation and dispatching problem (slides) Schmid (2012) model solution
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