Levine, Sergey

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 60

Learning to Walk via Deep Reinforcement Learning

Haarnoja, T., Ha, S., Zhou, A., Tan, J., Tucker, G., & Levine, S. (2018) · arXiv

Reinforcement Learning in RoboticsRobotic Locomotion and Control

Cited by 53

The False Promise of Imitating Proprietary LLMs

Gudibande, A., Wallace, E., Snell, C., Geng, X., Liu, H., Abbeel, P., Levine, S., & Song, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 48

ViNT: A Foundation Model for Visual Navigation

Shah, D., Sridhar, A., Dashora, N., Stachowicz, K., Black, K., Hirose, N., & Levine, S. (2023) · arXiv

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 45

Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

Ghosh, D., Rahme, J., Kumar, A., Zhang, A., Adams, R. P., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 41

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Nakamoto, M., Zhai, Y., Singh, A., Mark, M. S., Ma, Y., Finn, C., Kumar, A., & Levine, S. (2023) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 38

GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots

Feng, G., Zhang, H., Li, Z., Peng, X. B., Basireddy, B., Yue, L., Song, Z., Yang, L., Liu, Y., Sreenath, K., et al. (2022) · arXiv

Robotic Locomotion and ControlReinforcement Learning in Robotics

Cited by 28

Offline Meta-Reinforcement Learning with Online Self-Supervision

Pong, V. H., Nair, A., Smith, L., Huang, C., & Levine, S. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 25

Thinking While Moving: Deep Reinforcement Learning with Concurrent Control

Xiao, T., Jang, E., Kalashnikov, D., Levine, S., Ibarz, J., Hausman, K., & Herzog, A. (2020) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 25

Generative Temporal Difference Learning for Infinite-Horizon Prediction

Janner, M., Mordatch, I., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 24

Emergent Social Learning via Multi-agent Reinforcement Learning

Ndousse, K., Eck, D., Levine, S., & Jaques, N. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 23

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Bai, H., Zhou, Y., Cemri, M., Pan, J., Suhr, A., Levine, S., & Kumar, A. (2024) · arXiv

Reinforcement Learning in RoboticsIoT and Edge/Fog Computing

Cited by 20

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Bai, H., Zhou, Y., Cemri, M., Pan, J., Suhr, A., Levine, S., & Kumar, A. (2024) · Advances in Neural Information Processing Systems 37

Reinforcement Learning in RoboticsIoT and Edge/Fog Computing

Cited by 20

C-Learning: Learning to Achieve Goals via Recursive Classification

Eysenbach, B., Salakhutdinov, R., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 18

Octo: An Open-Source Generalist Robot Policy

Octo Model Team, Ghosh, D., Walke, H., Pertsch, K., Black, K., Mees, O., Dasari, S., Hejna, J., Kreiman, T., Xu, C., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 18

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Li, C., Liang, J., Zeng, A., Chen, X., Hausman, K., Sadigh, D., Levine, S., Fei-Fei, L., Xia, F., & Ichter, B. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

Robust Predictable Control

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

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 15

$π_0$: A Vision-Language-Action Flow Model for General Robot Control

Black, K., Brown, N., Driess, D., Esmail, A., Equi, M., Finn, C., Fusai, N., Groom, L., Hausman, K., Ichter, B., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 13

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Nasiriany, S., Xia, F., Yu, W., Xiao, T., Liang, J., Dasgupta, I., Xie, A., Driess, D., Wahid, A., Xu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 13

Real-Time Execution of Action Chunking Flow Policies

Black, K., Galliker, M., & Levine, S. (2025) · Advances in Neural Information Processing Systems 38

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 12

Adversarial Policies Beat Superhuman Go AIs

Wang, T. T., Gleave, A., Tseng, T., Pelrine, K., Belrose, N., Miller, J., Dennis, M. D., Duan, Y., Pogrebniak, V., Levine, S., et al. (2022) · arXiv

Adversarial Robustness in Machine LearningArtificial Intelligence in Games

Cited by 12

BridgeData V2: A Dataset for Robot Learning at Scale

Walke, H., Black, K., Lee, A., Kim, M. J., Du, M., Zheng, C., Zhao, T., Hansen-Estruch, P., Vuong, Q., He, A., et al. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 12

MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Liu, F., Fang, K., Abbeel, P., & Levine, S. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 8

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Chu, T., Zhai, Y., Yang, J., Tong, S., Xie, S., Schuurmans, D., Le, Q. V., Levine, S., & Ma, Y. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 7