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  4. A continuity result for optimal memoryless planning in POMDPs
 
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A continuity result for optimal memoryless planning in POMDPs

Publikationstyp
Preprint
Date Issued
2021-03-06
Sprache
English
Author(s)
Rauh, Johannes  
Ay, Nihat  
Montúfar, Guido  
TORE-URI
http://hdl.handle.net/11420/10381
Citation
Preprint (2021-03-09)
Publisher Link
https://www.mis.mpg.de/publications/preprints/2021/prepr2021-5.html
Consider an infinite horizon partially observable Markov decision process. We show that the optimal discounted reward under memoryless stochastic policies is continuous under perturbations of the observation channel. This implies that we can find approximately optimal memoryless policies by solving an approximate problem with a simpler observation channel.
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