Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/atal/MarchesiT020
%A Marchesi, Alberto
%A Trovò, Francesco
%A Gatti, Nicola
%B AAMAS
%D 2020
%E Seghrouchni, Amal El Fallah
%E Sukthankar, Gita
%E An, Bo
%E Yorke-Smith, Neil
%I International Foundation for Autonomous Agents and Multiagent Systems
%K dblp
%P 834-842
%T Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces.
%U http://dblp.uni-trier.de/db/conf/atal/aamas2020.html#MarchesiT020
%@ 978-1-4503-7518-4
@inproceedings{conf/atal/MarchesiT020,
added-at = {2024-03-20T00:00:00.000+0100},
author = {Marchesi, Alberto and Trovò, Francesco and Gatti, Nicola},
biburl = {https://www.bibsonomy.org/bibtex/243c00230cf015b56047fd1aade78573f/dblp},
booktitle = {AAMAS},
crossref = {conf/atal/2020},
editor = {Seghrouchni, Amal El Fallah and Sukthankar, Gita and An, Bo and Yorke-Smith, Neil},
ee = {https://www.ifaamas.org/Proceedings/aamas2020/pdfs/p834.pdf},
interhash = {e0487b8dde4d7d91c6fc8e36402b14e2},
intrahash = {43c00230cf015b56047fd1aade78573f},
isbn = {978-1-4503-7518-4},
keywords = {dblp},
pages = {834-842},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
timestamp = {2024-04-10T02:25:00.000+0200},
title = {Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces.},
url = {http://dblp.uni-trier.de/db/conf/atal/aamas2020.html#MarchesiT020},
year = 2020
}