Prafulla Dhariwal
Prafulla Dhariwal
Researcher, OpenAI
Verified email at openai.com
TitleCited byYear
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
11962017
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
GitHub, GitHub repository, 2017
2652017
Glow: Generative flow with invertible 1x1 convolutions
DP Kingma, P Dhariwal
Advances in Neural Information Processing Systems, 10215-10224, 2018
2342018
Variational lossy autoencoder
X Chen, DP Kingma, T Salimans, Y Duan, P Dhariwal, J Schulman, ...
arXiv preprint arXiv:1611.02731, 2016
2302016
Parameter space noise for exploration
M Plappert, R Houthooft, P Dhariwal, S Sidor, RY Chen, X Chen, T Asfour, ...
arXiv preprint arXiv:1706.01905, 2017
1612017
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, R Traore, P Dhariwal, C Hesse, ...
GitHub repository, 2018
342018
Gamepad: A learning environment for theorem proving
D Huang, P Dhariwal, D Song, I Sutskever
arXiv preprint arXiv:1806.00608, 2018
142018
Openai baselines (2017)
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
URL https://github. com/opfenai/baselines, 0
11
Glow: 生成流具有可逆的 1 1 卷积
DP Kingma, P Dhariwal, SF OpenAI
stat 1050, 9, 2018
2018
The Wasserstein Loss Function
P Dhariwal, I Jeevana
http://jinala.github.io/assets/papers/6867Project.pdf, 2015
2015
Improved Quantum Query Complexity Bounds for Some Graph Problems
P Dhariwal, V Mayar
2014
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Articles 1–11