PolyGym: Polyhedral optimizations as an environment for reinforcement learning
A. Brauckmann, A. Goens, and J. Castrillon. 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT), IEEE, (September 2021)
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%0 Conference Paper
%1 Brauckmann2021-ru
%A Brauckmann, Alexander
%A Goens, Andres
%A Castrillon, Jeronimo
%B 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT)
%D 2021
%I IEEE
%K
%T PolyGym: Polyhedral optimizations as an environment for reinforcement learning
@inproceedings{Brauckmann2021-ru,
added-at = {2024-09-10T11:56:37.000+0200},
author = {Brauckmann, Alexander and Goens, Andres and Castrillon, Jeronimo},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2b29bc2ac254297d751274a92eb5a1fe3/scadsfct},
booktitle = {2021 30th International Conference on Parallel Architectures and Compilation Techniques ({PACT})},
conference = {2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT)},
interhash = {a74fce09b1be3b8afbc33f83a7a9e009},
intrahash = {b29bc2ac254297d751274a92eb5a1fe3},
keywords = {},
location = {Atlanta, GA, USA},
month = sep,
publisher = {IEEE},
timestamp = {2024-09-10T15:15:57.000+0200},
title = {{PolyGym}: Polyhedral optimizations as an environment for reinforcement learning},
year = 2021
}
