ASE-7516 Dynamic Planning with Incomplete Information, 5 cr

Lisätiedot

The course will be lectured in every second year.
Suitable for postgraduate studies. Ei toteuteta lukuvuonna 2017-2018.

Vastuuhenkilö

Risto Ritala

Opetus

Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
ASE-7516 2017-01 - Risto Ritala
Exam and exercise work.

Osaamistavoitteet

This course expresses the planning problem as discrete-time dynamic programming with both action and information channel degrees of freedom. Problems studied include both discrete state and continuous state systems. Is capable (grade 3/5) 1. To formulate the control of the system and the selection of the information channels as a partially observable Markov decision process (POMDP) problem. 2. To produce approximate solutions to POMDP problems and to assess their suboptimality. 3. To explain the opportunities of approximate dynamic programming with POMDPs when system models are uncertain.

Sisältö

Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
1. Concurrent planning action on system and selection of information channels.      
2. Partially observable Markov decision process (POMDP).     
3. Solving dynamic programming problem for linear-quadratic-Gaussian POMDP.      
4. Solving dynamic programming problem for discrete state POMDP      
5. Dealing with model uncertainties by applying approximated dynamic programming methods.      

Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi

Exam and exercise work.

Arvosteluasteikko:

Numerical evaluation scale (0-5)

Oppimateriaali

Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
Lecture slides             No   

Esitietovaatimukset

Opintojakso P/S Selite
ASE-4080 Systeemien hallinnan case study Advisable    



Vastaavuudet

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ASE-7516 Dynamic Planning with Incomplete Information, 5 cr ASE-7516 Dynamic Planning with Incomplete Information, 5 cr  

Päivittäjä: Heinola-Lepistö Johanna, 05.04.2017