Conference paper
2021 31st International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2021, pp. 404--404
APA
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Peura, N., Meng, Y., Kuppannagari, S., & Prasanna, V. (2021). FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms. In 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) (pp. 404–404). IEEE.
Chicago/Turabian
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Peura, Nathaniel, Yuan Meng, Sanmukh Kuppannagari, and Viktor Prasanna. “FGYM: Toolkit for Benchmarking FPGA Based Reinforcement Learning Algorithms.” In 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), 404–404. IEEE, 2021.
MLA
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Peura, Nathaniel, et al. “FGYM: Toolkit for Benchmarking FPGA Based Reinforcement Learning Algorithms.” 2021 31st International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2021, pp. 404–04.
BibTeX Click to copy
@inproceedings{peura2021a,
title = {FGYM: Toolkit for Benchmarking FPGA based Reinforcement Learning Algorithms},
year = {2021},
organization = {IEEE},
pages = {404--404},
author = {Peura, Nathaniel and Meng, Yuan and Kuppannagari, Sanmukh and Prasanna, Viktor},
booktitle = {2021 31st International Conference on Field-Programmable Logic and Applications (FPL)}
}