Pablo Samuel Castro. Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 10069-10076, AAAI Press, 2020. [doi]
@inproceedings{Castro20,
title = {Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes},
author = {Pablo Samuel Castro},
year = {2020},
url = {https://aaai.org/ojs/index.php/AAAI/article/view/6564},
researchr = {https://researchr.org/publication/Castro20},
cites = {0},
citedby = {0},
pages = {10069-10076},
booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
publisher = {AAAI Press},
isbn = {978-1-57735-823-7},
}