🧑‍🔬 Pieter Abbeel — all works

95 works · ← Pieter Abbeel

1. Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
2. Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World ↗arXiv:1703.06907 · no summary yetJosh Tobin et al.2017 · 3,092 citations
3. Trust Region Policy Optimization ↗arXiv:1502.05477 · no summary yetJohn Schulman et al.2015 · 3,015 citations
4. High-Dimensional Continuous Control Using Generalized Advantage Estimation ↗arXiv:1506.02438 · no summary yetJohn Schulman et al.2015 · 1,867 citations
5. End-to-End Training of Deep Visuomotor Policies ↗arXiv:1504.00702 · no summary yetSergey Levine et al.2015 · 1,463 citations
6. Bottleneck Transformers for Visual Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAravind Srinivas et al.2021 · 1,310 citations
7. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets ↗arXiv (Cornell University) · no summary yetChen, Xi et al.2016 · 1,285 citations
8. Benchmarking Deep Reinforcement Learning for Continuous Control ↗arXiv:1604.06778 · no summary yetYan Duan et al.2016 · 967 citations
9. Overcoming Exploration in Reinforcement Learning with Demonstrations ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetAshvin Nair et al.2018 · 708 citations
10. RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
11. VIME: Variational Information Maximizing Exploration ↗arXiv:1605.09674 · no summary yetRein Houthooft et al.2016 · 518 citations
12. Value Iteration Networks ↗arXiv:1602.02867 · Advances in Neural Information Processing Systems 29 pages 2154–2162, 2016 · no summary yetAviv Tamar et al.2016 · 489 citations
13. Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAjay Jain, Matthew Tancik, Pieter Abbeel2021 · 485 citations
14. Deep Spatial Autoencoders for Visuomotor Learning ↗arXiv:1509.06113 · no summary yetChelsea Finn et al.2015 · 461 citations
15. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsarXiv:2201.07207Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 443 citations
16. Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization ↗no summary yetJohn Schulman et al.2013 · 437 citations
17. Hindsight Experience Replay ↗arXiv:1707.01495 · no summary yetMarcin Andrychowicz et al.2017 · 421 citations
18. Zero-Shot Text-Guided Object Generation with Dream Fields ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAjay Jain et al.2022 · 409 citations
19. Managing extreme AI risks amid rapid progress ↗Science · no summary yetYoshua Bengio et al.2024 · 382 citations
20. Asymmetric Actor Critic for Image-Based Robot Learning ↗arXiv:1710.06542 · no summary yetLerrel Pinto et al.2018 · 370 citations
21. Parameter Space Noise for Exploration ↗arXiv (Cornell University) · no summary yetMatthias Plappert et al.2017 · 370 citations
22. Learning modular neural network policies for multi-task and multi-robot transfer ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetColine Devin et al.2017 · 328 citations
23. #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetHaoran Tang et al.2016 · 327 citations
24. Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models ↗arXiv:1507.00814 · no summary yetBradly C. Stadie, Sergey Levine, Pieter Abbeel2015 · 313 citations
25. Variational Lossy Autoencoder ↗arXiv (Cornell University) · no summary yetXi Chen et al.2016 · 285 citations
26. A geometric approach to robotic laundry folding ↗The International Journal of Robotics Research · no summary yetStephen Miller et al.2011 · 242 citations
27. One-Shot Imitation Learning ↗neural information processing systems · no summary yetYan Duan et al.2017 · 235 citations
28. Exploration and apprenticeship learning in reinforcement learning ↗International Conference on Machine Learning · no summary yetPieter Abbeel, Andrew Ng2005 · 229 citations
29. Benchmarking Model-Based Reinforcement Learning ↗arXiv (Cornell University) · no summary yetTingwu Wang et al.2019 · 223 citations
30. Gradient Estimation Using Stochastic Computation Graphs ↗arXiv (Cornell University) · no summary yetJohn Schulman et al.2015 · 216 citations
31. Ring Attention with Blockwise Transformers for Near-Infinite ContextarXiv:2310.01889Hao Liu, Matei Zaharia, Pieter Abbeel2023 · 212 citations
32. Using inaccurate models in reinforcement learning ↗International Conference on Machine Learning · no summary yetPieter Abbeel, Morgan Quigley, Andrew Ng2006 · 211 citations
33. Deep unsupervised cardinality estimation ↗Proceedings of the VLDB Endowment · no summary yetZongheng Yang et al.2019 · 209 citations
34. Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗arXiv:2310.08864 · no summary yetEmbodiment Collaboration et al.2023 · 204 citations
35. Equivalence Between Policy Gradients and Soft Q-Learning ↗arXiv (Cornell University) · no summary yetJohn Schulman, Chen, Xi, Pieter Abbeel2017 · 196 citations
36. The False Promise of Imitating Proprietary LLMsarXiv:2305.15717Arnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 182 citations
37. Automatic Goal Generation for Reinforcement Learning Agents ↗arXiv:1705.06366 · no summary yetCarlos Florensa et al.2017 · 181 citations
38. A Berkeley View of Systems Challenges for AI ↗arXiv (Cornell University) · no summary yetIon Gabriel Stoica et al.2017 · 170 citations
39. Tracking deformable objects with point clouds ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetJohn Schulman et al.2013 · 170 citations
40. Domain Randomization and Generative Models for Robotic Grasping ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetJoshua Tobin et al.2018 · 160 citations
41. Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model ↗arXiv (Cornell University) · no summary yetPaul F. Christiano et al.2016 · 159 citations
42. Learning to poke by poking: experiential learning of intuitive physics ↗neural information processing systems · no summary yetPulkit Agrawal et al.2016 · 155 citations
43. Grounding spatial relations for human-robot interaction ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetSergio Guadarrama et al.2013 · 149 citations
44. Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules ↗arXiv (Cornell University) · no summary yetHo, Daniel et al.2019 · 148 citations
45. Contrastive Code Representation Learning ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetParas Jain et al.2021 · 147 citations
46. Learning from Demonstrations Through the Use of Non-rigid Registration ↗Springer tracts in advanced robotics · no summary yetJohn Schulman et al.2016 · 130 citations
47. Chain of Hindsight Aligns Language Models with Feedback ↗arXiv:2302.02676 · no summary yetHao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
48. Adapting Deep Visuomotor Representations with Weak Pairwise Constraints ↗Springer proceedings in advanced robotics · no summary yetEric Tzeng et al.2015 · 124 citations
49. Frozen Pretrained Transformers as Universal Computation Engines ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetKevin Lu et al.2022 · 123 citations
50. Meta Learning Shared Hierarchies ↗arXiv (Cornell University) · no summary yetKevin Frans et al.2017 · 116 citations
51. Model-Based Reinforcement Learning via Meta-Policy Optimization ↗arXiv (Cornell University) · no summary yetIgnasi Clavera et al.2018 · 112 citations
52. Backprop KF: learning discriminative deterministic state estimators ↗neural information processing systems · no summary yetTuomas Haarnoja et al.2016 · 102 citations
53. World Model on Million-Length Video And Language With Blockwise RingAttention ↗arXiv:2402.08268 · no summary yetHao Liu et al.2024 · 99 citations
54. Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization ↗MLSys 2020 · no summary yetParas Jain et al.2019 · 98 citations
55. Deep Object-Centric Representations for Generalizable Robot Learning ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetColine Devin et al.2018 · 95 citations
56. Parametrized shape models for clothing ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetStephen D. Miller et al.2011 · 93 citations
57. Foundation Models for Decision Making: Problems, Methods, and Opportunities ↗arXiv:2303.04129 · no summary yetSherry Yang et al.2023 · 92 citations
58. A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetJohn Schulman et al.2013 · 85 citations
59. Guiding Pretraining in Reinforcement Learning with Large Language Models ↗arXiv:2302.06692 · no summary yetYuqing Du et al.2023 · 77 citations
60. UCB Exploration via Q-Ensembles ↗arXiv (Cornell University) · no summary yetRichard Y. Chen et al.2017 · 75 citations
61. Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation ↗Springer tracts in advanced robotics · no summary yetSachin Patil et al.2015 · 74 citations
62. TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetAdithyavairavan Murali et al.2016 · 70 citations
63. Real-World Robot Learning with Masked Visual Pre-training ↗arXiv (Cornell University) · no summary yetIlija Radosavovic et al.2022 · 55 citations
64. Learning Interactive Real-World Simulators ↗arXiv:2310.06114 · no summary yetSherry Yang et al.2023 · 54 citations
65. Auto-Tuned Sim-to-Real Transfer ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetYuqing Du et al.2021 · 51 citations
66. Modular Architecture for StarCraft II with Deep Reinforcement Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · no summary yetDennis M. Lee et al.2018 · 48 citations
67. Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetAlex Lee et al.2013 · 42 citations
68. Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game ↗arXiv (Cornell University) · no summary yetSam Toyer et al.2023 · 37 citations
69. Perception for the manipulation of socks ↗IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yetPing Chuan Wang et al.2011 · 32 citations
70. Gaussian belief space planning with discontinuities in sensing domains ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetSachin Patil et al.2014 · 23 citations
71. Grasping and Fixturing as Submodular Coverage Problems ↗Springer tracts in advanced robotics · no summary yetJohn Schulman, Ken Y. Goldberg, Pieter Abbeel2016 · 21 citations
72. Learning to Model the World with Language ↗arXiv (Cornell University) · no summary yetJessy Lin et al.2023 · 19 citations
73. Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization ↗Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yetYan Duan et al.2014 · 19 citations
74. DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos ↗arXiv (Cornell University) · no summary yetShenyuan Gao et al.2026 · 15 citations
75. Compositional Plan Vectors ↗neural information processing systems · no summary yetColine Devin et al.2019 · 7 citations
76. Visual Imitation Enables Contextual Humanoid Control ↗arXiv (Cornell University) · no summary yetArthur Allshire et al.2025 · 6 citations
77. Controllable All-Atom Protein Generation with Latent Diffusion ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetAmy X. Lu et al.2024 · 6 citations
78. Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAbdus Salam Azad et al.2022 · 5 citations
79. CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ↗arXiv (Cornell University) · no summary yetAzad, Abdus Salam et al.2022 · 4 citations
80. Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games ↗no summary yetHuazhe Xu et al.2018 · 4 citations
81. Explaining Reinforcement Learning Policies through Counterfactual Trajectories ↗arXiv (Cornell University) · no summary yetJulius Frost et al.2022 · 3 citations
82. Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments ↗arXiv (Cornell University) · no summary yetAzad, Abdus Salam et al.2021 · 3 citations
83. Variable Skipping for Autoregressive Range Density Estimation ↗arXiv (Cornell University) · no summary yetEric Liang et al.2020 · 3 citations
84. T-Rex: Tactile-Reactive Dexterous Manipulation ↗arXiv (Cornell University) · no summary yetDantong Niu et al.2026 · 1 citation
85. Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control ↗arXiv (Cornell University) · no summary yetColine Devin et al.2019 · 1 citation
86. Hierarchical Variational Imitation Learning of Control Programs ↗arXiv (Cornell University) · no summary yetRoy Fox et al.2019 · 1 citation
87. Hierarchical Imitation Learning via Variational Inference of Control Programs ↗no summary yetRoy Fox et al.2018 · 1 citation
88. A Geometric Approach to Robotic Laundry Folding1 ↗Elsevier eBooks · no summary yetStephen Miller et al.2015 · 1 citation
89. The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio ↗arXiv (Cornell University) · no summary yetRenhao Wang et al.2025
90. Teachable Reinforcement Learning via Advice Distillation ↗arXiv (Cornell University) · no summary yetOlivia Watkins et al.2022
91. Imitation Learning of Hierarchical Programs via Variational Inference ↗International Conference on Machine Learning · no summary yetRoy Fox et al.2018
92. DOI: 10.1177/0278364911430417 ↗no summary yetStephen Miller et al.2016
93. End-toend training of deep visuomotor policies. arXiv preprint arXiv:1504.00702 ↗no summary yetSergey Levine et al.2015
94. B120&!5=!C/46/$! ↗no summary yetAllison Janoch et al.2013
95. On behalf of: Multimedia Archives ↗no summary yetStephen Miller et al.2011

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