Finite-memory control of partially observable systems
A partially observable Markov decision process (POMDP) is a model of planning and control that enables reasoning about actions with stochastic effects and observations that provide imperfect information. It has applications in diverse fields that include artificial intelligence, operations research...
| Main Author: | |
|---|---|
| Language: | ENG |
| Published: |
ScholarWorks@UMass Amherst
1998
|
| Subjects: | |
| Online Access: | https://scholarworks.umass.edu/dissertations/AAI9909170 |