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Sergey Levine
Sergey Levine
UC Berkeley, Physical Intelligence
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
C Finn, P Abbeel, S Levine
International Conference on Machine Learning (ICML), 2017
120152017
Trust region policy optimization
J Schulman, S Levine, P Moritz, MI Jordan, P Abbeel
International Conference on Machine Learning (ICML 2015), 2015
78432015
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
T Haarnoja, A Zhou, P Abbeel, S Levine
International conference on machine learning, 1861-1870, 2018
77582018
End-to-end training of deep visuomotor policies
S Levine, C Finn, T Darrell, P Abbeel
Journal of Machine Learning Research 17 (39), 1-40, 2016
38242016
High-dimensional continuous control using generalized advantage estimation
J Schulman, P Moritz, S Levine, M Jordan, P Abbeel
International Conference on Learning Representations (ICLR 2016), 2015
33972015
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
S Levine, P Pastor, A Krizhevsky, J Ibarz, D Quillen
The International Journal of Robotics Research 37 (4-5), 421-436, 2018
25922018
Soft actor-critic algorithms and applications
T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ...
arXiv preprint arXiv:1812.05905, 2018
23662018
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
S Gu, E Holly, T Lillicrap, S Levine
2017 IEEE international conference on robotics and automation (ICRA), 3389-3396, 2017
18172017
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
S Levine, A Kumar, G Tucker, J Fu
arXiv preprint arXiv:2005.01643, 2020
16022020
Scalable deep reinforcement learning for vision-based robotic manipulation
D Kalashnikov, A Irpan, P Pastor, J Ibarz, A Herzog, E Jang, D Quillen, ...
Conference on robot learning, 651-673, 2018
14452018
Conservative q-learning for offline reinforcement learning
A Kumar, A Zhou, G Tucker, S Levine
Advances in Neural Information Processing Systems 33, 1179-1191, 2020
14402020
Reinforcement learning with deep energy-based policies
T Haarnoja, H Tang, P Abbeel, S Levine
International conference on machine learning, 1352-1361, 2017
13582017
Deep reinforcement learning in a handful of trials using probabilistic dynamics models
K Chua, R Calandra, R McAllister, S Levine
Advances in neural information processing systems 31, 2018
13172018
Guided Policy Search
S Levine, V Koltun
International Conference on Machine Learning (ICML 2013), 2013
13102013
Continuous deep q-learning with model-based acceleration
S Gu, T Lillicrap, I Sutskever, S Levine
International conference on machine learning, 2829-2838, 2016
12122016
Unsupervised learning for physical interaction through video prediction
C Finn, I Goodfellow, S Levine
Advances in neural information processing systems 29, 2016
11712016
Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ...
International conference on machine learning, 5637-5664, 2021
11502021
Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
A Nagabandi, G Kahn, RS Fearing, S Levine
2018 IEEE international conference on robotics and automation (ICRA), 7559-7566, 2018
11362018
Recurrent network models for human dynamics
K Fragkiadaki, S Levine, P Felsen, J Malik
Proceedings of the IEEE international conference on computer vision, 4346-4354, 2015
10742015
Guided cost learning: Deep inverse optimal control via policy optimization
C Finn, S Levine, P Abbeel
International conference on machine learning, 49-58, 2016
10722016
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