Omid Davoodi, Majid Komeili. Feature-Based Interpretable Reinforcement Learning based on State-Transition Models. In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021. pages 301-308, IEEE, 2021. [doi]
@inproceedings{DavoodiK21,
title = {Feature-Based Interpretable Reinforcement Learning based on State-Transition Models},
author = {Omid Davoodi and Majid Komeili},
year = {2021},
doi = {10.1109/SMC52423.2021.9658917},
url = {https://doi.org/10.1109/SMC52423.2021.9658917},
researchr = {https://researchr.org/publication/DavoodiK21},
cites = {0},
citedby = {0},
pages = {301-308},
booktitle = {2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, October 17-20, 2021},
publisher = {IEEE},
isbn = {978-1-6654-4207-7},
}