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Yan Duan
Yan Duan
Covariant.AI
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Zitiert von
Zitiert von
Jahr
InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
X Chen, Y Duan, R Houthooft, J Schulman, I Sutskever, P Abbeel
Advances in Neural Information Processing Systems, 2172-2180, 2016
57852016
Benchmarking deep reinforcement learning for continuous control
Y Duan, X Chen, R Houthooft, J Schulman, P Abbeel
International conference on machine learning, 1329-1338, 2016
21712016
RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning
Y Duan, J Schulman, X Chen, PL Bartlett, I Sutskever, P Abbeel
arXiv preprint arXiv:1611.02779, 2016
12232016
Adversarial attacks on neural network policies
S Huang, N Papernot, I Goodfellow, Y Duan, P Abbeel
arXiv preprint arXiv:1702.02284, 2017
10752017
Vime: Variational information maximizing exploration
R Houthooft, X Chen, Y Duan, J Schulman, F De Turck, P Abbeel
Advances in neural information processing systems 29, 2016
10072016
Evaluating protein transfer learning with TAPE
R Rao, N Bhattacharya, N Thomas, Y Duan, P Chen, J Canny, P Abbeel, ...
Advances in neural information processing systems 32, 2019
9882019
Motion planning with sequential convex optimization and convex collision checking
J Schulman, Y Duan, J Ho, A Lee, I Awwal, H Bradlow, J Pan, S Patil, ...
The International Journal of Robotics Research 33 (9), 1251-1270, 2014
9822014
One-shot imitation learning
Y Duan, M Andrychowicz, B Stadie, OAI Jonathan Ho, J Schneider, ...
Advances in neural information processing systems 30, 2017
8302017
Variational lossy autoencoder
X Chen, DP Kingma, T Salimans, Y Duan, P Dhariwal, J Schulman, ...
arXiv preprint arXiv:1611.02731, 2016
8302016
Deep Spatial Autoencoders for Visuomotor Learning
C Finn, XY Tan, Y Duan, T Darrell, S Levine, P Abbeel
International Conference on Robotics and Automation (ICRA), 2016
751*2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
H Tang, R Houthooft, D Foote, A Stooke, X Chen, Y Duan, J Schulman, ...
arXiv preprint arXiv:1611.04717, 2016
7432016
Model-ensemble trust-region policy optimization
T Kurutach, I Clavera, Y Duan, A Tamar, P Abbeel
arXiv preprint arXiv:1802.10592, 2018
5692018
Flow++: Improving flow-based generative models with variational dequantization and architecture design
J Ho, X Chen, A Srinivas, Y Duan, P Abbeel
International conference on machine learning, 2722-2730, 2019
5222019
Stochastic neural networks for hierarchical reinforcement learning
C Florensa, Y Duan, P Abbeel
arXiv preprint arXiv:1704.03012, 2017
4392017
Deep unsupervised cardinality estimation
Z Yang, E Liang, A Kamsetty, C Wu, Y Duan, X Chen, P Abbeel, ...
arXiv preprint arXiv:1905.04278, 2019
2652019
NeuroCard: one cardinality estimator for all tables
Z Yang, A Kamsetty, S Luan, E Liang, Y Duan, X Chen, I Stoica
arXiv preprint arXiv:2006.08109, 2020
2072020
Variance reduction for policy gradient with action-dependent factorized baselines
C Wu, A Rajeswaran, Y Duan, V Kumar, AM Bayen, S Kakade, I Mordatch, ...
arXiv preprint arXiv:1803.07246, 2018
1782018
The Importance of Sampling in Meta-Reinforcement Learning
B Stadie, G Yang, R Houthooft, P Chen, Y Duan, Y Wu, P Abbeel, ...
Advances in Neural Information Processing Systems, 9299-9309, 2018
175*2018
Attacking machine learning with adversarial examples
I Goodfellow, N Papernot, S Huang, Y Duan, P Abbeel, J Clark
OpenAI Blog 24, 1, 2017
872017
Sigma hulls for gaussian belief space planning for imprecise articulated robots amid obstacles
A Lee, Y Duan, S Patil, J Schulman, Z McCarthy, J Van Den Berg, ...
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
482013
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