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eNauka >  Results >  Post-hoc Explainable Reinforcement Learning Using Probabilistic Graphical Models
Title: Post-hoc Explainable Reinforcement Learning Using Probabilistic Graphical Models
Authors: S. Deshpande; R. Walambe; K. Kotecha; M. Marjanović-Jakovljević  
Issue Date: 2022
Publication: Advanced Computing. 11th International Conference IACC 2021. Communications in Computer and Information Science, vol 1528. Springer
ISSN: 1865-0929 Search Idenfier
Type: Conference Paper
ISBN: 978-3-030-95502-1 Search Idenfier
Collation: str. 362-376
DOI: 10.1007/978-3-030-95502-1_28
Scopus-ID: 2-s2.0-85125253577
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/8697
https://enauka.gov.rs/handle/123456789/711696
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/8655
URL: https://link.springer.com/chapter/10.1007/978-3-030-95502-1_28
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