Pieter Abbeel
Pieter Abbeel
UC Berkeley | Covariant.AI
Verified email at cs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Trust region policy optimization
J Schulman, S Levine, P Abbeel, M Jordan, P Moritz
International conference on machine learning, 1889-1897, 2015
24492015
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
22192004
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
20052016
Model-agnostic meta-learning for fast adaptation of deep networks
C Finn, P Abbeel, S Levine
arXiv preprint arXiv:1703.03400, 2017
18762017
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
18622016
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
16532007
High-dimensional continuous control using generalized advantage estimation
J Schulman, P Moritz, S Levine, M Jordan, P Abbeel
arXiv preprint arXiv:1506.02438, 2015
8922015
Discriminative probabilistic models for relational data
B Taskar, P Abbeel, D Koller
arXiv preprint arXiv:1301.0604, 2012
8662012
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
8572016
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, YI Wu, A Tamar, J Harb, OAIP Abbeel, I Mordatch
Advances in neural information processing systems, 6379-6390, 2017
7432017
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
7192017
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
7142018
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
6282007
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems, 5048-5058, 2017
6142017
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
5892015
Link prediction in relational data
B Taskar, MF Wong, P Abbeel, D Koller
Advances in neural information processing systems, 659-666, 2004
5512004
Autonomous helicopter aerobatics through apprenticeship learning
P Abbeel, A Coates, AY Ng
The International Journal of Robotics Research 29 (13), 1608-1639, 2010
5012010
Efficient l~ 1 regularized logistic regression
SI Lee, H Lee, P Abbeel, AY Ng
Aaai 6, 401-408, 2006
4132006
Guided cost learning: Deep inverse optimal control via policy optimization
C Finn, S Levine, P Abbeel
International conference on machine learning, 49-58, 2016
3922016
Reinforcement learning with deep energy-based policies
T Haarnoja, H Tang, P Abbeel, S Levine
arXiv preprint arXiv:1702.08165, 2017
3752017
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