Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/corr/abs-2111-05969
%A Biagioni, David
%A Zhang, Xiangyu
%A Wald, Dylan
%A Vaidhynathan, Deepthi
%A Chintala, Rohit
%A King, Jennifer
%A Zamzam, Ahmed S.
%D 2021
%J CoRR
%K dblp
%T PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems.
%U http://dblp.uni-trier.de/db/journals/corr/corr2111.html#abs-2111-05969
%V abs/2111.05969
@article{journals/corr/abs-2111-05969,
added-at = {2021-11-16T00:00:00.000+0100},
author = {Biagioni, David and Zhang, Xiangyu and Wald, Dylan and Vaidhynathan, Deepthi and Chintala, Rohit and King, Jennifer and Zamzam, Ahmed S.},
biburl = {https://www.bibsonomy.org/bibtex/280c2fdcbee0899775c17d1f6cb0f9f8c/dblp},
ee = {https://arxiv.org/abs/2111.05969},
interhash = {f823d2e20cfba80cc7f12f6d0f59d09e},
intrahash = {80c2fdcbee0899775c17d1f6cb0f9f8c},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T22:29:20.000+0200},
title = {PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2111.html#abs-2111-05969},
volume = {abs/2111.05969},
year = 2021
}