Tom Bewley, Jonathan Lawry, Arthur Richards. Modelling Agent Policies with Interpretable Imitation Learning. In Fredrik Heintz, Michela Milano, Barry O'Sullivan, editors, Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers. Volume 12641 of Lecture Notes in Computer Science, pages 180-186, Springer, 2020. [doi]
@inproceedings{BewleyLR20,
title = {Modelling Agent Policies with Interpretable Imitation Learning},
author = {Tom Bewley and Jonathan Lawry and Arthur Richards},
year = {2020},
doi = {10.1007/978-3-030-73959-1_16},
url = {https://doi.org/10.1007/978-3-030-73959-1_16},
researchr = {https://researchr.org/publication/BewleyLR20},
cites = {0},
citedby = {0},
pages = {180-186},
booktitle = {Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers},
editor = {Fredrik Heintz and Michela Milano and Barry O'Sullivan},
volume = {12641},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-73959-1},
}