Journal article
IEEE Transactions on Parallel and Distributed Systems, vol. 33, IEEE, 2021, pp. 2066--2078
APA
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Meng, Y., Kuppannagari, S., Kannan, R., & Prasanna, V. (2021). PPOAccel: A high-throughput acceleration framework for proximal policy optimization. IEEE Transactions on Parallel and Distributed Systems, 33, 2066–2078.
Chicago/Turabian
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Meng, Yuan, Sanmukh Kuppannagari, Rajgopal Kannan, and Viktor Prasanna. “PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization.” IEEE Transactions on Parallel and Distributed Systems 33 (2021): 2066–2078.
MLA
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Meng, Yuan, et al. “PPOAccel: A High-Throughput Acceleration Framework for Proximal Policy Optimization.” IEEE Transactions on Parallel and Distributed Systems, vol. 33, IEEE, 2021, pp. 2066–78.
BibTeX Click to copy
@article{meng2021a,
title = {PPOAccel: A high-throughput acceleration framework for proximal policy optimization},
year = {2021},
journal = {IEEE Transactions on Parallel and Distributed Systems},
pages = {2066--2078},
publisher = {IEEE},
volume = {33},
author = {Meng, Yuan and Kuppannagari, Sanmukh and Kannan, Rajgopal and Prasanna, Viktor}
}