Study Guide 2015-2016

ASE-7516 Dynamic Planning with Incomplete Information, 5 cr

Additional information

The course will be lectured in every second year.
Suitable for postgraduate studies

Person responsible

Risto Ritala

Lessons

Implementation 1: ASE-7516 2015-01

Study type P1 P2 P3 P4 Summer
Lectures
Assignment
 2 h/week
 10 h/per
+2 h/week
+15 h/per


 


 


 

Lecture times and places: Friday 9 - 11 SC105A , Friday 9 - 12 SJ212A

Requirements

Exam and exercise work.

Learning Outcomes

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.

Content

Content Core content Complementary knowledge Specialist knowledge
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.      

Instructions for students on how to achieve the learning outcomes

Exam and exercise work.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Study material

Type Name Author ISBN URL Additional information Examination material
Lecture slides             No   

Prerequisites

Course Mandatory/Advisable Description
ASE-5050 Optimoiva ja robusti säätö Matlabilla Advisable   1
ASE-5056 Optimal and Robust Control with Matlab Advisable   1
ASE-5036 Optimal Estimation and Prediction Based on Models Advisable    

1 . Alternative options.



Correspondence of content

Course Corresponds course  Description 
ASE-7516 Dynamic Planning with Incomplete Information, 5 cr ASE-7516 Dynamic Planning with Incomplete Information, 5 cr  

Last modified 14.01.2015