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Sergey Levine
Sergey Levine
UC Berkeley, Physical Intelligence
Dirección de correo verificada de eecs.berkeley.edu - Página principal
Título
Citado por
Citado por
Año
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
C Finn, P Abbeel, S Levine
International Conference on Machine Learning (ICML), 2017
134802017
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
91162018
Trust region policy optimization
J Schulman, S Levine, P Moritz, MI Jordan, P Abbeel
International Conference on Machine Learning (ICML 2015), 2015
86082015
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
40582016
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
38982015
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
28072018
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
27382018
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
19262017
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
S Levine, A Kumar, G Tucker, J Fu
arXiv preprint arXiv:2005.01643, 2020
18912020
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
17682020
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
16082018
Reinforcement learning with deep energy-based policies
T Haarnoja, H Tang, P Abbeel, S Levine
International conference on machine learning, 1352-1361, 2017
14792017
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
14472018
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
13552021
Guided Policy Search
S Levine, V Koltun
International Conference on Machine Learning (ICML 2013), 2013
13542013
Continuous deep q-learning with model-based acceleration
S Gu, T Lillicrap, I Sutskever, S Levine
International conference on machine learning, 2829-2838, 2016
12912016
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
12352018
Unsupervised learning for physical interaction through video prediction
C Finn, I Goodfellow, S Levine
Advances in neural information processing systems 29, 2016
12342016
Palm-e: An embodied multimodal language model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
arXiv preprint arXiv:2303.03378, 2023
11992023
Do as i can, not as i say: Grounding language in robotic affordances
M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ...
arXiv preprint arXiv:2204.01691, 2022
11732022
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Artículos 1–20