---
title: "Sergey Levine — all works — Elamur Research"
description: "All 69 works of Sergey Levine in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/sergey-levine/works/"
---
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# Sergey Levine — all works

69 works · [← Sergey Levine](https://md.research.elamur.ai/free/en/authors/sergey-levine/)

1. [**Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks arXiv:1703.03400**Chelsea Finn, Pieter Abbeel, Sergey Levine*2017 · 6,549 citations*](https://md.research.elamur.ai/free/en/papers/finn-2017-model-agnostic-meta-learning-fast/)
2. **[Trust Region Policy Optimization ↗](https://arxiv.org/abs/1502.05477) arXiv:1502.05477 · no summary yet**John Schulman et al.*2015 · 3,015 citations*
3. **[High-Dimensional Continuous Control Using Generalized Advantage Estimation ↗](https://arxiv.org/abs/1506.02438) arXiv:1506.02438 · no summary yet**John Schulman et al.*2015 · 1,867 citations*
4. **[End-to-End Training of Deep Visuomotor Policies ↗](https://arxiv.org/abs/1504.00702) arXiv:1504.00702 · no summary yet**Sergey Levine et al.*2015 · 1,463 citations*
5. **[Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations ↗](https://arxiv.org/abs/1709.10087) arXiv:1709.10087 · no summary yet**Aravind Rajeswaran et al.*2017 · 838 citations*
6. **[PaLM-E: An Embodied Multimodal Language Model ↗](https://arxiv.org/abs/2303.03378) arXiv:2303.03378 · no summary yet**Danny Driess et al.*2023 · 700 citations*
7. **[Cognitive Mapping and Planning for Visual Navigation ↗](https://doi.org/10.1109/cvpr.2017.769) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Saurabh Gupta et al.*2017 · 544 citations*
8. **[Value Iteration Networks ↗](https://arxiv.org/abs/1602.02867) arXiv:1602.02867 · Advances in Neural Information Processing Systems 29 pages 2154–2162, 2016 · no summary yet**Aviv Tamar et al.*2016 · 489 citations*
9. **[Deep Spatial Autoencoders for Visuomotor Learning ↗](https://arxiv.org/abs/1509.06113) arXiv:1509.06113 · no summary yet**Chelsea Finn et al.*2015 · 461 citations*
10. **[Model-Based Reinforcement Learning for Atari ↗](https://arxiv.org/abs/1903.00374) arXiv (Cornell University) · no summary yet**Łukasz Kaiser et al.*2019 · 429 citations*
11. **[Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks ↗](https://doi.org/10.1109/cvpr.2019.01291) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Stephen James et al.*2019 · 414 citations*
12. **[WILDS: A Benchmark of in-the-Wild Distribution Shifts ↗](https://arxiv.org/abs/2012.07421) CaltechAUTHORS (California Institute of Technology) · no summary yet**Pang Wei Koh et al.*2020 · 405 citations*
13. **[PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings ↗](https://doi.org/10.1109/iccv.2019.00291) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Nicholas Rhinehart et al.*2019 · 355 citations*
14. **[Learning modular neural network policies for multi-task and multi-robot transfer ↗](https://doi.org/10.1109/icra.2017.7989250) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Coline Devin et al.*2017 · 328 citations*
15. **[Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models ↗](https://arxiv.org/abs/1507.00814) arXiv:1507.00814 · no summary yet**Bradly C. Stadie, Sergey Levine, Pieter Abbeel*2015 · 313 citations*
16. **[MOPO: Model-based Offline Policy Optimization ↗](https://arxiv.org/abs/2005.13239) arXiv (Cornell University) · no summary yet**Tianhe Yu et al.*2020 · 260 citations*
17. **[OpenVLA: An Open-Source Vision-Language-Action Model ↗](https://arxiv.org/abs/2406.09246) arXiv:2406.09246 · no summary yet**Moo Jin Kim et al.*2024 · 254 citations*
18. **[Modular Multitask Reinforcement Learning with Policy Sketches ↗](https://arxiv.org/abs/1611.01796) arXiv (Cornell University) · no summary yet**Jacob Andreas, Dan Klein, Sergey Levine*2016 · 238 citations*
19. [**Gradient Surgery for Multi-Task Learning arXiv:2001.06782**Tianhe Yu, Saurabh Kumar, Abhishek Gupta, et al.*2020 · 233 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-gradient-surgery-multi-task-learning/)
20. **[Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning ↗](https://arxiv.org/abs/1910.00177) arXiv:1910.00177 · no summary yet**Xue Bin Peng et al.*2019 · 223 citations*
21. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗](https://arxiv.org/abs/2310.08864) arXiv:2310.08864 · no summary yet**Embodiment Collaboration et al.*2023 · 204 citations*
22. [**The False Promise of Imitating Proprietary LLMs arXiv:2305.15717**Arnav Gudibande, Eric Wallace, Charlie Snell, et al.*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/gudibande-2023-false-promise-imitating-proprietary-llms/)
23. **[Recasting Gradient-Based Meta-Learning as Hierarchical Bayes ↗](https://arxiv.org/abs/1801.08930) arXiv (Cornell University) · no summary yet**Erin Grant et al.*2018 · 165 citations*
24. **[Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning ↗](https://arxiv.org/abs/1803.00101) arXiv (Cornell University) · no summary yet**Vladimir Feinberg et al.*2018 · 162 citations*
25. [**SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training arXiv:2501.17161**Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.*2025 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chu-2025-sft-memorizes-rl-generalizes-comparative/)
26. **[Conditional Networks for Few-Shot Semantic Segmentation ↗](https://openalex.org/W2902683551) International Conference on Learning Representations · no summary yet**Kate Rakelly et al.*2018 · 159 citations*
27. **[Learning to poke by poking: experiential learning of intuitive physics ↗](https://openalex.org/W2964112890) neural information processing systems · no summary yet**Pulkit Agrawal et al.*2016 · 155 citations*
28. **[Diversity is All You Need: Learning Skills without a Reward Function ↗](https://arxiv.org/abs/1802.06070) arXiv:1802.06070 · no summary yet**Benjamin Eysenbach et al.*2018 · 145 citations*
29. **[Adapting Deep Visuomotor Representations with Weak Pairwise Constraints ↗](https://doi.org/10.1007/978-3-030-43089-4_44) Springer proceedings in advanced robotics · no summary yet**Eric Tzeng et al.*2015 · 124 citations*
30. [**FAST: Efficient Action Tokenization for Vision-Language-Action Models arXiv:2501.09747**Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.*2025 · 123 citations*](https://md.research.elamur.ai/free/en/papers/pertsch-2025-fast-efficient-action-tokenization-vision/)
31. **[Learning with Latent Language ↗](https://aclanthology.org/N18-1197/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Jacob Andreas, Dan Klein, Sergey Levine*2018 · 121 citations*
32. **[Backprop KF: learning discriminative deterministic state estimators ↗](https://openalex.org/W2963714390) neural information processing systems · no summary yet**Tuomas Haarnoja et al.*2016 · 102 citations*
33. **[Reinforcement Learning from Imperfect Demonstrations ↗](https://arxiv.org/abs/1802.05313) arXiv (Cornell University) · no summary yet**Yang Gao et al.*2018 · 97 citations*
34. **[Efficient Exploration via State Marginal Matching ↗](https://arxiv.org/abs/1906.05274) arXiv (Cornell University) · no summary yet**Lisa Lee et al.*2019 · 96 citations*
35. **[Deep Object-Centric Representations for Generalizable Robot Learning ↗](https://doi.org/10.1109/icra.2018.8461196) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Coline Devin et al.*2018 · 95 citations*
36. **[Few-Shot Segmentation Propagation with Guided Networks ↗](https://arxiv.org/abs/1806.07373) arXiv (Cornell University) · no summary yet**Kate Rakelly et al.*2018 · 95 citations*
37. **[Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning ↗](https://doi.org/10.52202/079017-3522) neural information processing systems · no summary yet**Yuexiang Zhai et al.*2024 · 65 citations*
38. **[Search on the Replay Buffer: Bridging Planning and Reinforcement Learning ↗](https://arxiv.org/abs/1906.05253) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine*2019 · 55 citations*
39. **[ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL ↗](https://arxiv.org/abs/2402.19446) arXiv:2402.19446 · no summary yet**Yifei Zhou et al.*2024 · 54 citations*
40. **[Autonomous Evaluation and Refinement of Digital Agents ↗](https://arxiv.org/abs/2404.06474) arXiv:2404.06474 · no summary yet**Jiayi Pan; Yichi Zhang; Nicholas Tomlin; Yifei Zhou; Sergey Levine;, Alane Suhr*2024 · 53 citations*
41. **[Unfamiliar Finetuning Examples Control How Language Models Hallucinate](https://md.research.elamur.ai/free/en/papers/kang-2025-unfamiliar-finetuning-examples-control-how/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Katie Kang, Eric Wallace, Claire Tomlin, et al.*2025 · 47 citations*
42. **[Learning to Reason without External Rewards ↗](https://arxiv.org/abs/2505.19590) arXiv:2505.19590 · no summary yet**Xuandong Zhao et al.*2025 · 44 citations*
43. **[Learning Instance Segmentation by Interaction ↗](https://doi.org/10.1109/cvprw.2018.00276) IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yet**Deepak Pathak et al.*2018 · 41 citations*
44. **[Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement ↗](https://arxiv.org/abs/2002.11089) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach et al.*2020 · 38 citations*
45. **[Scaling Test-Time Compute Without Verification or RL is Suboptimal ↗](https://arxiv.org/abs/2502.12118) arXiv:2502.12118 · no summary yet**Amrith Setlur et al.*2025 · 26 citations*
46. **[C-Learning: Learning to Achieve Goals via Recursive Classification ↗](https://arxiv.org/abs/2011.08909) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine*2020 · 24 citations*
47. **[Evolving Reinforcement Learning Algorithms ↗](https://arxiv.org/abs/2101.03958) arXiv (Cornell University) · no summary yet**John D. Co-Reyes et al.*2021 · 22 citations*
48. **[PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ↗](https://arxiv.org/abs/2402.07872) arXiv (Cornell University) · no summary yet**Soroush Nasiriany et al.*2024 · 21 citations*
49. **[Extending the WILDS Benchmark for Unsupervised Adaptation ↗](https://arxiv.org/abs/2112.05090) arXiv (Cornell University) · no summary yet**Shiori Sagawa et al.*2021 · 18 citations*
50. **[Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations ↗](https://arxiv.org/abs/2311.05584) arXiv:2311.05584 · no summary yet**Joey Hong, Sergey Levine, Anca Dragan*2023 · 15 citations*
51. **[Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers ↗](https://arxiv.org/abs/2006.13916) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach et al.*2020 · 12 citations*
52. **[Robust Predictable Control ↗](https://arxiv.org/abs/2109.03214) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine*2021 · 11 citations*
53. **[Predicting Emergent Capabilities by Finetuning ↗](https://arxiv.org/abs/2411.16035) arXiv (Cornell University) · no summary yet**Charlie Snell et al.*2024 · 8 citations*
54. **[C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ↗](https://arxiv.org/abs/2110.12080) arXiv (Cornell University) · no summary yet**Tianjun Zhang et al.*2021 · 7 citations*
55. **[Compositional Plan Vectors ↗](https://openalex.org/W2970263828) neural information processing systems · no summary yet**Coline Devin et al.*2019 · 7 citations*
56. **[RoboReward: General-Purpose Vision-Language Reward Models for Robotics ↗](https://arxiv.org/abs/2601.00675) arXiv (Cornell University) · no summary yet**Tony Lee et al.*2026 · 6 citations*
57. **[Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification ↗](https://arxiv.org/abs/2103.12656) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach, Sergey Levine, Ruslan Salakhutdinov*2021 · 6 citations*
58. **[What Do Learning Dynamics Reveal About Generalization in LLM Reasoning? ↗](https://arxiv.org/abs/2411.07681) arXiv (Cornell University) · no summary yet**Katie Kang et al.*2024 · 4 citations*
59. **[Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data ↗](https://arxiv.org/abs/2306.03346) arXiv (Cornell University) · no summary yet**Chongyi Zheng et al.*2023 · 4 citations*
60. **[Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games ↗](https://openalex.org/W2908741085) no summary yet**Huazhe Xu et al.*2018 · 4 citations*
61. **[Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference ↗](https://doi.org/10.52202/079017-1878) neural information processing systems · no summary yet**Benjamin Eysenbach et al.*2024 · 3 citations*
62. **[Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ↗](https://arxiv.org/abs/2209.08466) arXiv (Cornell University) · no summary yet**Raj Ghugare et al.*2022 · 3 citations*
63. **[Meta-Learning to Guide Segmentation ↗](https://openalex.org/W2906375655) no summary yet**Kate Rakelly et al.*2018 · 3 citations*
64. **[The Information Geometry of Unsupervised Reinforcement Learning ↗](https://arxiv.org/abs/2110.02719) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine*2021 · 2 citations*
65. **[A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning ↗](https://arxiv.org/abs/2307.12968) arXiv (Cornell University) · no summary yet**Benjamin Eysenbach et al.*2023 · 1 citation*
66. **[Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control ↗](https://arxiv.org/abs/1910.14033) arXiv (Cornell University) · no summary yet**Coline Devin et al.*2019 · 1 citation*
67. **[One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL ↗](https://arxiv.org/abs/2608.12253) arXiv (Cornell University) · no summary yet**Su Yu et al.*2026*
68. **[Contrastive Example-Based Control ↗](https://arxiv.org/abs/2307.13101) arXiv (Cornell University) · no summary yet**Kyle Hatch et al.*2023*
69. **[End-toend training of deep visuomotor policies. arXiv preprint arXiv:1504.00702 ↗](https://openalex.org/W7095372322) no summary yet**Sergey Levine et al.*2015*