Sergey Levine

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Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning

Gaurav S. Sukhatme, Karol Hausman, Ryan Julian, 2020 .

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction pdf

Sergey Levine, Abhishek Gupta, Aviral Kumar, 2020, NeurIPS.

One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL pdf

Sergey Levine, Chelsea Finn, Aviral Kumar, 2020, NeurIPS.

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning pdf

Karol Hausman, Sergey Levine, Vikash Kumar, 2020, Robotics: Science and Systems.

Model Inversion Networks for Model-Based Optimization pdf

Sergey Levine, Aviral Kumar, S. Levine, 2019, NeurIPS.

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

Sergey Levine, Nicholas Rhinehart, Rowan McAllister, 2020, ICML.

LaND: Learning to Navigate From Disengagements pdf

Pieter Abbeel, Sergey Levine, Gregory Kahn, 2020, IEEE Robotics and Automation Letters.

WILDS: A Benchmark of in-the-Wild Distribution Shifts pdf

Jure Leskovec, Sergey Levine, Chelsea Finn, 2020, ArXiv.

Efficient Adaptation for End-to-End Vision-Based Robotic Manipulation pdf

Gaurav S. Sukhatme, Karol Hausman, Ryan Julian, 2020, RSS 2020.

SMiRL: Surprise Minimizing RL in Entropic Environments

Sergey Levine, Chelsea Finn, Glen Berseth, 2019 .

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems pdf

Sergey Levine, Justin Fu, George Tucker, 2020, ArXiv.

SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments

Sergey Levine, Chelsea Finn, Nicholas Rhinehart, 2021, ICLR.

Emergent Social Learning via Multi-agent Reinforcement Learning

Natasha Jaques, Sergey Levine, Douglas Eck, 2020, ICML.

Dynamics-Aware Unsupervised Skill Discovery

Karol Hausman, Sergey Levine, Vikash Kumar, 2020, ICLR 2020.

Offline Meta-Reinforcement Learning with Advantage Weighting pdf

Sergey Levine, Chelsea Finn, Eric Mitchell, 2020, ArXiv.

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions pdf

S. Matthew Weinberg, Thomas L. Griffiths, Sergey Levine, 2020, ICML.

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning pdf

Sergey Levine, Aviral Kumar, Avi Singh, 2020, ArXiv.

Simple and Effective VAE Training with Calibrated Decoders pdf

Sergey Levine, Kostas Daniilidis, Oleh Rybkin, 2020, ArXiv.

Reward-Conditioned Policies pdf

Sergey Levine, Aviral Kumar, Xue Bin Peng, 2019, ArXiv.

Continual Learning of Control Primitives: Skill Discovery via Reset-Games pdf

Sergey Levine, Chelsea Finn, Kelvin Xu, 2020, NeurIPS.

Learning To Reach Goals Without Reinforcement Learning pdf

Abhishek Gupta, Sergey Levine, Justin Fu, 2019, ArXiv.

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

Brijen Thananjeyan, Ashwin Balakrishna, Joseph E. Gonzalez, 2020, IEEE Robotics and Automation Letters.

Reinforcement Learning with Videos: Combining Offline Observations with Interaction pdf

Sergey Levine, Chelsea Finn, Kostas Daniilidis, 2020, ArXiv.

Consistent Meta-Reinforcement Learning via Model Identification and Experience Relabeling

Sergey Levine, Chelsea Finn, Xinyang Geng, 2019 .

C-Learning: Learning to Achieve Goals via Recursive Classification pdf

Ruslan Salakhutdinov, Sergey Levine, Benjamin Eysenbach, 2020, ArXiv.

Scalable Multi-Task Imitation Learning with Autonomous Improvement

Sergey Levine, Chelsea Finn, Daniel Kappler, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Variable-Shot Adaptation for Online Meta-Learning pdf

Sergey Levine, Chelsea Finn, Tianhe Yu, 2020, ArXiv.

Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation

Sergey Levine, Jennifer Hicks, Christopher G. Atkeson, 2020, Journal of NeuroEngineering and Rehabilitation.

Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning pdf

Harini Kannan, Dumitru Erhan, Sergey Levine, 2020, ArXiv.

Multi-agent Social Reinforcement Learning Improves Generalization pdf

Natasha Jaques, Sergey Levine, Douglas Eck, 2020, ArXiv.

SMiRL: Surprise Minimizing RL in Dynamic Environments pdf

Sergey Levine, Chelsea Finn, Glen Berseth, 2019, ArXiv.

The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget pdf

Yoshua Bengio, Sergey Levine, Anirudh Goyal, 2020, ICLR.

Accelerating Online Reinforcement Learning with Offline Datasets pdf

Sergey Levine, Abhishek Gupta, Ashvin Nair, 2020, ArXiv.

Learning Agile Robotic Locomotion Skills by Imitating Animals pdf

Jie Tan, Sergey Levine, Tingnan Zhang, 2020, RSS 2020.

Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift pdf

Sergey Levine, Chelsea Finn, Abhishek Gupta, 2020, ArXiv.

Assisted Perception: Optimizing Observations to Communicate State pdf

Anca D. Dragan, Sergey Levine, Siddharth Reddy, 2020, CoRL.

Learning Predictive Models From Observation and Interaction

Sergey Levine, Chelsea Finn, Kostas Daniilidis, 2019, ECCV.

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System pdf

Pieter Abbeel, Sergey Levine, Gregory Kahn, 2020, ArXiv.

Artificial Intelligence for Prosthetics - challenge solutions pdf

N. E. Toklu, Wojciech Jaskowski, Jeremy D. Watson, 2019, The NeurIPS '18 Competition.

Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling pdf

Sergey Levine, Chelsea Finn, Xinyang Geng, 2020, ArXiv.

Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks pdf

Sergey Levine, Eugen Solowjow, Gerrit Schoettler, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

RoboNet: Large-Scale Multi-Robot Learning pdf

Sergey Levine, Chelsea Finn, Stephen Tian, 2019, CoRL.