Levine, Sergey
106 papers on CoChatORCID 0000-0001-6764-2743
Most cited papers
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Finn, C., Abbeel, P., & Levine, S. (2017) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 8,512
- Verified
Soft actor-critic Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Haarnoja, T., Zhou, A., Abbeel, P., & Levine, S. (2018) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 5,594
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Trust region policy optimization
Schulman, J., Levine, S., Moritz, P., Jordan, M. I., & Abbeel, P. (2015) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 4,578
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High-Dimensional Continuous Control Using Generalized Advantage Estimation
Schulman, J., Moritz, P., Levine, S., Jordan, M., & Abbeel, P. (2015) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 2,103
- Verified
Soft Actor-Critic Algorithms and Applications
Haarnoja, T., Zhou, A., Hartikainen, K., Tucker, G., Ha, S., Tan, J., Kumar, V., Zhu, H., Gupta, A., Abbeel, P., et al. (2018) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 1,994
- Verified · note
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Levine, S., Pastor, P., Krizhevsky, A., Ibarz, J., & Quillen, D. (2018) · The International Journal of Robotics Research
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 1,971
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Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Rajeswaran, A., Kumar, V., Gupta, A., Vezzani, G., Schulman, J., Todorov, E., & Levine, S. (2018) · Robotics: Science and Systems XIV
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 847
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Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Levine, S., Kumar, A., Tucker, G., & Fu, J. (2020) · arXiv
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 824
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Unsupervised Learning for Physical Interaction through Video Prediction
Finn, C., Goodfellow, I., & Levine, S. (2016) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 759
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Gradient Surgery for Multi-Task Learning
Yu, T., Kumar, S., Gupta, A., Levine, S., Hausman, K., & Finn, C. (2020) · arXiv
Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics
Cited by 755
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RT-1: Robotics Transformer for Real-World Control at Scale
Brohan, A., Brown, N., Carbajal, J., Chebotar, Y., Dabis, J., Finn, C., Gopalakrishnan, K., Hausman, K., Herzog, A., Hsu, J., et al. (2022) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 727
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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Kalashnikov, D., Irpan, A., Pastor, P., Ibarz, J., Herzog, A., Jang, E., Quillen, D., Holly, E., Kalakrishnan, M., Vanhoucke, V., et al. (2018) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 697
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Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Zhao, T., Kumar, V., Levine, S., & Finn, C. (2023) · Robotics: Science and Systems XIX
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 674
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Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Zhao, T. Z., Kumar, V., Levine, S., & Finn, C. (2023) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 673
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Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Bousmalis, K., Irpan, A., Wohlhart, P., Bai, Y., Kelcey, M., Kalakrishnan, M., Downs, L., Ibarz, J., Pastor, P., Konolige, K., et al. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 636
- Verified
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Ahn, M., Brohan, A., Brown, N., Chebotar, Y., Cortes, O., David, B., Finn, C., Fu, C., Gopalakrishnan, K., Hausman, K., et al. (2022) · arXiv
Smart Agriculture and AIAI-based Problem Solving and Planning
Cited by 624
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CAD2RL: Real Single-Image Flight Without a Single Real Image
Sadeghi, F., & Levine, S. (2017) · Robotics: Science and Systems XIII
Reinforcement Learning in RoboticsAerospace Engineering and Control Systems
Cited by 618
- Verified
Deep visual foresight for planning robot motion
Finn, C., & Levine, S. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 599
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PaLM-E: An Embodied Multimodal Language Model
Driess, D., Xia, F., Sajjadi, M. S. M., Lynch, C., Chowdhery, A., Ichter, B., Wahid, A., Tompson, J., Vuong, Q., Yu, T., et al. (2023) · arXiv
Multimodal Machine Learning ApplicationsRobot Manipulation and Learning
Cited by 591
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How to train your robot with deep reinforcement learning: Lessons we have learned
Ibarz, J., Tan, J., Finn, C., Kalakrishnan, M., Pastor, P., & Levine, S. (2021) · The International Journal of Robotics Research
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 570
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Deep reinforcement learning in a handful of trials using probabilistic dynamics models
Chua, K., Calandra, R., McAllister, R., & Levine, S. (2018) · arXiv
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 525
- Verified
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification
Cited by 518
- Verified
Value Iteration Networks
Tamar, A., Wu, Y., Thomas, G., Levine, S., & Abbeel, P. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 484
- Verified
Residual Reinforcement Learning for Robot Control
Johannink, T., Bahl, S., Nair, A., Luo, J., Kumar, A., Loskyll, M., Ojea, J. A., Solowjow, E., & Levine, S. (2019) · 2019 International Conference on Robotics and Automation (ICRA)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 480
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