Levine, Sergey

Shared Autonomy via Deep Reinforcement Learning

Reddy, S., Dragan, A., & Levine, S. (2018) · Robotics: Science and Systems XIV

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 175

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning

Jang, E., Irpan, A., Khansari, M., Kappler, D., Ebert, F., Lynch, C., Levine, S., & Finn, C. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 167

Learning Invariant Representations for Reinforcement Learning without Reconstruction

Zhang, A., McAllister, R., Calandra, R., Gal, Y., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 165

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M. K., Chen, L. Y., Ellis, K., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

Stochastic latent actor–critic: Deep reinforcement learning with a latent variable model

Lee, A. X., Nagabandi, A., Abbeel, P., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 159

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M., Chen, L., Ellis, K., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Gupta, A., Kumar, V., Lynch, C., Levine, S., & Hausman, K. (2019) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 153

Learning force-based manipulation of deformable objects from multiple demonstrations

Lee, A. X., Lu, H., Gupta, A., Levine, S., & Abbeel, P. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 140

Planning with Diffusion for Flexible Behavior Synthesis

Janner, M., Du, Y., Tenenbaum, J. B., & Levine, S. (2022) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 140

Octo: An Open-Source Generalist Robot Policy

Ghosh, D., Walke, H., Pertsch, K., Black, K., Mees, O., Dasari, S., Hejna, J., Kreiman, T., Xu, C., Luo, J., et al. (2024) · Robotics: Science and Systems XX

Robotics and Automated SystemsReinforcement Learning in Robotics

Cited by 129

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

Eysenbach, B., Salakhutdinov, R., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 123

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

Rearrangement: A Challenge for Embodied AI

Batra, D., Chang, A. X., Chernova, S., Davison, A. J., Deng, J., Koltun, V., Levine, S., Malik, J., Mordatch, I., Mottaghi, R., et al. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 109

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos

Smith, L., Dhawan, N., Zhang, M., Abbeel, P., & Levine, S. (2020) · Robotics: Science and Systems XVI

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 102

EX2: Exploration with Exemplar Models for Deep Reinforcement Learning

Fu, J., Co-Reyes, J. D., & Levine, S. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 95

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

Ebert, F., Yang, Y., Schmeckpeper, K., Bucher, B., Georgakis, G., Daniilidis, K., Finn, C., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 94

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets

Ebert, F., Yang, Y., Schmeckpeper, K., Bucher, B., Georgakis, G., Daniilidis, K., Finn, C., & Levine, S. (2022) · Robotics: Science and Systems XVIII

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 94

GNM: A General Navigation Model to Drive Any Robot

Shah, D., Sridhar, A., Bhorkar, A., Hirose, N., & Levine, S. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 85

Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks

Thananjeyan, B., Balakrishna, A., Rosolia, U., Li, F., McAllister, R., Gonzalez, J. E., Levine, S., Borrelli, F., & Goldberg, K. (2020) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 83

Ving: Learning open-world navigation with visual goals

Shah, D., Eysenbach, B., Kahn, G., Rhinehart, N., & Levine, S. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 81

FAST: Efficient Action Tokenization for Vision-Language-Action Models

Pertsch, K., Stachowicz, K., Ichter, B., Driess, D., Nair, S., Vuong, Q., Mees, O., Finn, C., & Levine, S. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 73

Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Eysenbach, B., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 69

Learning to reach goals via iterated supervised learning

Ghosh, D., Gupta, A., Reddy, A., Fu, J., Devin, C., Eysenbach, B., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 63

OpenVLA: An Open-Source Vision-Language-Action Model

Kim, M. J., Pertsch, K., Karamcheti, S., Xiao, T., Balakrishna, A., Nair, S., Rafailov, R., Foster, E., Lam, G., Sanketi, P., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 62