Prafulla Dhariwal
Prafulla Dhariwal
Researcher, OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
24852017
Glow: Generative flow with invertible 1x1 convolutions
DP Kingma, P Dhariwal
Advances in neural information processing systems, 10215-10224, 2018
5532018
Openai baselines
P Dhariwal, C Hesse, O Klimov, A Nichol, M Plappert, A Radford, ...
4842017
Variational lossy autoencoder
X Chen, DP Kingma, T Salimans, Y Duan, P Dhariwal, J Schulman, ...
arXiv preprint arXiv:1611.02731, 2016
3522016
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
2782017
Stable baselines
A Hill, A Raffin, M Ernestus, A Gleave, R Traore, P Dhariwal, C Hesse, ...
GitHub repository, 2018
1382018
Gamepad: A learning environment for theorem proving
D Huang, P Dhariwal, D Song, I Sutskever
arXiv preprint arXiv:1806.00608, 2018
312018
Language models are few-shot learners
TB Brown, B Mann, N Ryder, M Subbiah, J Kaplan, P Dhariwal, ...
arXiv preprint arXiv:2005.14165, 2020
21*2020
Jukebox: A generative model for music
P Dhariwal, H Jun, C Payne, JW Kim, A Radford, I Sutskever
arXiv preprint arXiv:2005.00341, 2020
52020
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
Generative Pretraining from Pixels
M Chen, A Radford, R Child, J Wu, H Jun, D Luan, I Sutskever
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Articles 1–12