Pieter Abbeel
Pieter Abbeel
UC Berkeley | Covariant.AI
Verified email at cs.berkeley.edu - Homepage
TitleCited byYear
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
19542004
Trust region policy optimization
J Schulman, S Levine, P Abbeel, M Jordan, P Moritz
International conference on machine learning, 1889-1897, 2015
17402015
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
15382007
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
14972016
End-to-end training of deep visuomotor policies
S Levine, C Finn, T Darrell, P Abbeel
The Journal of Machine Learning Research 17 (1), 1334-1373, 2016
14762016
Model-agnostic meta-learning for fast adaptation of deep networks
C Finn, P Abbeel, S Levine
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
10992017
Discriminative probabilistic models for relational data
B Taskar, P Abbeel, D Koller
Proceedings of the Eighteenth conference on Uncertainty in artificial …, 2002
8392002
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
6562016
High-dimensional continuous control using generalized advantage estimation
J Schulman, P Moritz, S Levine, M Jordan, P Abbeel
arXiv preprint arXiv:1506.02438, 2015
6532015
An application of reinforcement learning to aerobatic helicopter flight
P Abbeel, A Coates, M Quigley, AY Ng
Advances in neural information processing systems, 1-8, 2007
5872007
Link prediction in relational data
B Taskar, MF Wong, P Abbeel, D Koller
Advances in neural information processing systems, 659-666, 2004
5332004
A survey of research on cloud robotics and automation
B Kehoe, S Patil, P Abbeel, K Goldberg
IEEE Transactions on automation science and engineering 12 (2), 398-409, 2015
5172015
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, Y Wu, A Tamar, J Harb, OAIP Abbeel, I Mordatch
Advances in Neural Information Processing Systems, 6379-6390, 2017
4632017
Domain randomization for transferring deep neural networks from simulation to the real world
J Tobin, R Fong, A Ray, J Schneider, W Zaremba, P Abbeel
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
4612017
Autonomous helicopter aerobatics through apprenticeship learning
P Abbeel, A Coates, AY Ng
The International Journal of Robotics Research 29 (13), 1608-1639, 2010
4492010
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in Neural Information Processing Systems, 5048-5058, 2017
4072017
Efficient l~ 1 regularized logistic regression
SI Lee, H Lee, P Abbeel, AY Ng
AAAI 6, 401-408, 2006
3832006
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information
J Van Den Berg, P Abbeel, K Goldberg
The International Journal of Robotics Research 30 (7), 895-913, 2011
3702011
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
T Haarnoja, A Zhou, P Abbeel, S Levine
arXiv preprint arXiv:1801.01290, 2018
3462018
Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding
J Maitin-Shepard, M Cusumano-Towner, J Lei, P Abbeel
2010 IEEE International Conference on Robotics and Automation, 2308-2315, 2010
3252010
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