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Sergey Levine
Sergey Levine
UC Berkeley, Google
Bestätigte E-Mail-Adresse bei eecs.berkeley.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
C Finn, P Abbeel, S Levine
International Conference on Machine Learning (ICML), 2017
102552017
Trust region policy optimization
J Schulman, S Levine, P Moritz, MI Jordan, P Abbeel
International Conference on Machine Learning (ICML 2015), 2015
69282015
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
61632018
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
35472016
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
29102015
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
23782018
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
18532018
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
16552017
Guided Policy Search
S Levine, V Koltun
International Conference on Machine Learning (ICML 2013), 2013
12302013
Reinforcement learning with deep energy-based policies
T Haarnoja, H Tang, P Abbeel, S Levine
International conference on machine learning, 1352-1361, 2017
11792017
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
S Levine, A Kumar, G Tucker, J Fu
arXiv preprint arXiv:2005.01643, 2020
11762020
Continuous deep q-learning with model-based acceleration
S Gu, T Lillicrap, I Sutskever, S Levine
International conference on machine learning, 2829-2838, 2016
11362016
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
11112018
Unsupervised learning for physical interaction through video prediction
C Finn, I Goodfellow, S Levine
Advances in neural information processing systems 29, 2016
10992016
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
10192018
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
10002020
Guided cost learning: Deep inverse optimal control via policy optimization
C Finn, S Levine, P Abbeel
International conference on machine learning, 49-58, 2016
9692016
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
9632015
Diversity is all you need: Learning skills without a reward function
B Eysenbach, A Gupta, J Ibarz, S Levine
arXiv preprint arXiv:1802.06070, 2018
8802018
Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
XB Peng, P Abbeel, S Levine, M Van de Panne
ACM Transactions On Graphics (TOG) 37 (4), 1-14, 2018
8762018
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