Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots

Pooyan Jamshidi, Javier Camara Moreno, Bradley Schmerl, Christian Kästner, David Garlan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019)
Publisher	ACM
Pages	39-50
DOIs	https://doi.org/10.1109/SEAMS.2019.00015
Publication status	Published - 25 May 2019

Access to Document

@inproceedings{b14454637e7c4c8386ef7f260dce27ae,

title = "Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots",

author = "Pooyan Jamshidi and {Camara Moreno}, Javier and Bradley Schmerl and Christian K{\"a}stner and David Garlan",

year = "2019",

month = may,

day = "25",

doi = "10.1109/SEAMS.2019.00015",

language = "English",

pages = "39--50",

booktitle = "Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019)",

publisher = "ACM",

address = "United States",

}

Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots. / Jamshidi, Pooyan; Camara Moreno, Javier; Schmerl, Bradley et al.
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019) . ACM, 2019. p. 39-50.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Machine learning meets quantitative planning

T2 - enabling self-adaptation in autonomous robots

AU - Jamshidi, Pooyan

AU - Camara Moreno, Javier

AU - Schmerl, Bradley

AU - Kästner, Christian

AU - Garlan, David

PY - 2019/5/25

Y1 - 2019/5/25

U2 - 10.1109/SEAMS.2019.00015

DO - 10.1109/SEAMS.2019.00015

M3 - Conference contribution

SP - 39

EP - 50

BT - Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019)

PB - ACM

ER -