Pieter Abbeel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
267
Venues
20
Active years
2002–2026
Best venue rank
A*
Where they publish
Papers
267 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Cliqueformer: Model-Based Optimization with Structured Transformers. | Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine |
| 2026 | ICPRAM | Deep Sensorimotor Control by Imitating Predictive Models of Human Motion: Leveraging Visual Understanding of Motion for Policy Learning. | Himanshu Gaurav Singh, Pieter Abbeel, Jitendra Malik, Antonio Loquercio |
| 2025 | CVPR | Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction. | Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo |
| 2025 | ICLR | SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation. | Jongmin Lee, Meiqi Sun, Pieter Abbeel |
| 2025 | ICLR | World Model on Million-Length Video And Language With Blockwise RingAttention. | Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel |
| 2025 | ICLR | One Step Diffusion via Shortcut Models. | Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel |
| 2025 | ICLR | Protein Language Model Fitness is a Matter of Preference. | Cade W. Gordon, Amy X. Lu, Pieter Abbeel |
| 2025 | ICLR | MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization. | Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza |
| 2025 | ICLR | Prioritized Generative Replay. | Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros |
| 2025 | ICLR | ElasticTok: Adaptive Tokenization for Image and Video. | Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu |
| 2025 | ICML | OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction. | Huang Huang, Fangchen Liu, Letian Fu, Tingfan Wu, Mustafa Mukadam, Jitendra Malik, Ken Goldberg, Pieter Abbeel |
| 2025 | ICML | Chip Placement with Diffusion Models. | Vint Lee, Minh Nguyen, Leena Elzeiny, Chun Deng, Pieter Abbeel, John Wawrzynek |
| 2025 | ICML | Value-Based Deep RL Scales Predictably. | Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar |
| 2025 | ICRA | Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding. | Joshua Jones, Oier Mees, Carmelo Sferrazza, Kyle Stachowicz, Pieter Abbeel, Sergey Levine |
| 2025 | IROS | Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm. | Zhao-Heng Yin, Changhao Wang, Luis Pineda, Chaithanya Krishna Bodduluri, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam |
| 2025 | ICRA | Hand-Object Interaction Pretraining from Videos. | Himanshu Gaurav Singh, Antonio Loquercio, Carmelo Sferrazza, Jane Wu, Haozhi Qi, Pieter Abbeel, Jitendra Malik |
| 2024 | AISTATS | Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. | Kuba Grudzien Kuba, Masatoshi Uehara, Sergey Levine, Pieter Abbeel |
| 2024 | CoRL | Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data. | Alejandro Escontrela, Justin Kerr, Kyle Stachowicz, Pieter Abbeel |
| 2024 | CoRL | Twisting Lids Off with Two Hands. | Toru Lin, Zhao-Heng Yin, Haozhi Qi, Pieter Abbeel, Jitendra Malik |
| 2024 | CoRL | Body Transformer: Leveraging Robot Embodiment for Policy Learning. | Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel |
| 2024 | CoRL | Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own. | Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao |
| 2024 | ICLR | Chain of Hindsight aligns Language Models with Feedback. | Hao Liu, Carmelo Sferrazza, Pieter Abbeel |
| 2024 | ICLR | RingAttention with Blockwise Transformers for Near-Infinite Context. | Hao Liu, Matei Zaharia, Pieter Abbeel |
| 2024 | ICLR | Video Language Planning. | Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson |
| 2024 | ICLR | The False Promise of Imitating Proprietary Language Models. | Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song |
| 2024 | ICLR | DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing. | Vint Lee, Pieter Abbeel, Youngwoon Lee |
| 2024 | ICLR | Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. | Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell |
| 2024 | ICLR | Scalable Diffusion for Materials Generation. | Sherry Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk |
| 2024 | ICLR | Probabilistic Adaptation of Black-Box Text-to-Video Models. | Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel |
| 2024 | ICLR | Learning Interactive Real-World Simulators. | Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel |
| 2024 | ICML | Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings. | Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine |
| 2024 | ICML | Visual Representation Learning with Stochastic Frame Prediction. | Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo |
| 2024 | ICML | Learning to Model the World With Language. | Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan |
| 2024 | ICML | Learning a Diffusion Model Policy from Rewards via Q-Score Matching. | Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma |
| 2024 | ICML | Position: Video as the New Language for Real-World Decision Making. | Sherry Yang, Jacob C. Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andr Barreto, Pieter Abbeel, Dale Schuurmans |
| 2024 | ICRA | SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Network. | Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel |
| 2024 | ICRA | Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. | Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | IROS | The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. | Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel |
| 2024 | IROS | From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control. | Yide Shentu, Philipp Wu, Aravind Rajeswaran, Pieter Abbeel |
| 2024 | IROS | GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators. | Philipp Wu, Yide Shentu, Zhongke Yi, Xingyu Lin, Pieter Abbeel |
| 2023 | AAAI | Improving Long-Horizon Imitation through Instruction Prediction. | Joey Hejna, Pieter Abbeel, Lerrel Pinto |
| 2023 | CoRL | Language-Conditioned Path Planning. | Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James |
| 2023 | CoRL | RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. | Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel |
| 2023 | CVPR | VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models. | Ajay Jain, Amber Xie, Pieter Abbeel |
| 2023 | ICLR | Preference Transformer: Modeling Human Preferences using Transformers for RL. | Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2023 | ICLR | Dichotomy of Control: Separating What You Can Control from What You Cannot. | Sherry Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum |
| 2023 | ICLR | Become a Proficient Player with Limited Data through Watching Pure Videos. | Weirui Ye, Yunsheng Zhang, Pieter Abbeel, Yang Gao |
| 2023 | ICML | CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. | Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica |
| 2023 | ICML | Guiding Pretraining in Reinforcement Learning with Large Language Models. | Yuqing Du, Olivia Watkins, Zihan Wang, Cdric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas |
| 2023 | ICML | Emergent Agentic Transformer from Chain of Hindsight Experience. | Hao Liu, Pieter Abbeel |
| 2023 | ICML | Controllability-Aware Unsupervised Skill Discovery. | Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel |
| 2023 | ICML | Multi-View Masked World Models for Visual Robotic Manipulation. | Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel |
| 2023 | ICML | Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. | David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum |
| 2023 | ICML | Masked Trajectory Models for Prediction, Representation, and Control. | Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran |
| 2023 | ICML | Temporally Consistent Transformers for Video Generation. | Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel |
| 2023 | ICML | The Wisdom of Hindsight Makes Language Models Better Instruction Followers. | Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez |
| 2023 | ICRA | StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. | Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou |
| 2023 | ICRA | Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN. | Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen |
| 2023 | IROS | Self-Supervised Instance Segmentation by Grasping. | Yuxuan Liu, Xi Chen, Pieter Abbeel |
| 2023 | IROS | Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. | Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb |
| 2023 | IROS | The Impact of Overall Optimization on Warehouse Automation. | Hiroshi Yoshitake, Pieter Abbeel |
| 2023 | ICRA | Train Offline, Test Online: A Real Robot Learning Benchmark. | Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta |
| 2022 | AAAI | Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. | Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia |
| 2022 | AAAI | Frozen Pretrained Transformers as Universal Computation Engines. | Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch |
| 2022 | CoRL | Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision. | Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, Ken Goldberg |
| 2022 | CoRL | Real-World Robot Learning with Masked Visual Pre-training. | Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell |
| 2022 | CoRL | Masked World Models for Visual Control. | Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel |
| 2022 | CoRL | Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data. | John So, Amber Xie, Sunggoo Jung, Jeffrey A. Edlund, Rohan Thakker, Ali-akbar Agha-mohammadi, Pieter Abbeel, Stephen James |
| 2022 | CoRL | DayDreamer: World Models for Physical Robot Learning. | Philipp Wu, Alejandro Escontrela, Danijar Hafner, Pieter Abbeel, Ken Goldberg |
| 2022 | CVPR | Zero-Shot Text-Guided Object Generation with Dream Fields. | Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole |
| 2022 | ECCV | Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. | Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen |
| 2022 | ECCV | Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking. | Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou |
| 2022 | ICIP | HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. | Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel |
| 2022 | ICLR | It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation. | Yuqing Du, Pieter Abbeel, Aditya Grover |
| 2022 | ICLR | Hierarchical Few-Shot Imitation with Skill Transition Models. | Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin |
| 2022 | ICLR | Reward Uncertainty for Exploration in Preference-based Reinforcement Learning. | Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel |
| 2022 | ICLR | SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. | Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2022 | ICML | Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. | Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch |
| 2022 | ICML | Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. | Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox |
| 2022 | ICML | Reinforcement Learning with Action-Free Pre-Training from Videos. | Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel |
| 2022 | IROS | Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. | Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel |
| 2022 | IROS | Multi-Objective Policy Gradients with Topological Constraints. | Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel |
| 2022 | IROS | Playful Interactions for Representation Learning. | Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto |
| 2022 | IROS | Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation. | Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin |
| 2022 | ICRA | Towards More Generalizable One-shot Visual Imitation Learning. | Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel |
| 2022 | UAI | AdaCat: Adaptive categorical discretization for autoregressive models. | Qiyang Li, Ajay Jain, Pieter Abbeel |
| 2021 | CoRL | Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. | Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin |
| 2021 | CoRL | Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. | Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin |
| 2021 | CVPR | Bottleneck Transformers for Visual Recognition. | Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani |
| 2021 | EMNLP | Contrastive Code Representation Learning. | Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica |
| 2021 | ICCV | Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. | Ajay Jain, Matthew Tancik, Pieter Abbeel |
| 2021 | ICLR | Efficient Empowerment Estimation for Unsupervised Stabilization. | Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin |
| 2021 | ICLR | Self-Supervised Policy Adaptation during Deployment. | Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Aleny, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang |
| 2021 | ICLR | Task-Agnostic Morphology Evolution. | Donald Joseph Hejna III, Pieter Abbeel, Lerrel Pinto |
| 2021 | ICLR | Learning What To Do by Simulating the Past. | David Lindner, Rohin Shah, Pieter Abbeel, Anca D. Dragan |
| 2021 | ICLR | Reset-Free Lifelong Learning with Skill-Space Planning. | Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch |
| 2021 | ICLR | Mutual Information State Intrinsic Control. | Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu |
| 2021 | ICML | Unsupervised Learning of Visual 3D Keypoints for Control. | Boyuan Chen, Pieter Abbeel, Deepak Pathak |
| 2021 | ICML | SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning. | Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel |
| 2021 | ICML | PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training. | Kimin Lee, Laura M. Smith, Pieter Abbeel |
| 2021 | ICML | APS: Active Pretraining with Successor Features. | Hao Liu, Pieter Abbeel |
| 2021 | ICML | MSA Transformer. | Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives |
| 2021 | ICML | State Entropy Maximization with Random Encoders for Efficient Exploration. | Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2021 | ICML | Decoupling Representation Learning from Reinforcement Learning. | Adam Stooke, Kimin Lee, Pieter Abbeel, Michael Laskin |
| 2021 | ICRA | Auto-Tuned Sim-to-Real Transfer. | Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak |
| 2021 | ICRA | Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. | Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath |
| 2020 | CoRL | Learning Predictive Representations for Deformable Objects Using Contrastive Estimation. | Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto |
| 2020 | CoRL | Visual Imitation Made Easy. | Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto |
| 2020 | ICLR | Model-Augmented Actor-Critic: Backpropagating through Paths. | Ignasi Clavera, Yao Fu, Pieter Abbeel |
| 2020 | ICLR | Sub-policy Adaptation for Hierarchical Reinforcement Learning. | Alexander C. Li, Carlos Florensa, Ignasi Clavera, Pieter Abbeel |
| 2020 | ICML | Hierarchically Decoupled Imitation For Morphological Transfer. | Donald J. Hejna III, Lerrel Pinto, Pieter Abbeel |
| 2020 | ICML | CURL: Contrastive Unsupervised Representations for Reinforcement Learning. | Michael Laskin, Aravind Srinivas, Pieter Abbeel |
| 2020 | ICML | Variable Skipping for Autoregressive Range Density Estimation. | Eric Liang, Zongheng Yang, Ion Stoica, Pieter Abbeel, Yan Duan, Xi Chen |
| 2020 | ICML | Hallucinative Topological Memory for Zero-Shot Visual Planning. | Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar |
| 2020 | ICML | Planning to Explore via Self-Supervised World Models. | Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak |
| 2020 | ICML | Responsive Safety in Reinforcement Learning by PID Lagrangian Methods. | Adam Stooke, Joshua Achiam, Pieter Abbeel |
| 2020 | UAI | Locally Masked Convolution for Autoregressive Models. | Ajay Jain, Pieter Abbeel, Deepak Pathak |
| 2019 | CoRL | Asynchronous Methods for Model-Based Reinforcement Learning. | Yunzhi Zhang, Ignasi Clavera, Boren Tsai, Pieter Abbeel |
| 2019 | DAC | Analog Circuit Generator based on Deep Neural Network enhanced Combinatorial Optimization. | Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic |
| 2019 | ICCAD | BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks. | Kourosh Hakhamaneshi, Nick Werblun, Pieter Abbeel, Vladimir Stojanovic |
| 2019 | ICLR | Guiding Policies with Language via Meta-Learning. | John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine |
| 2019 | ICLR | Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning. | Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn |
| 2019 | ICLR | Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow. | Xue Bin Peng, Angjoo Kanazawa, Sam Toyer, Pieter Abbeel, Sergey Levine |
| 2019 | ICLR | ProMP: Proximal Meta-Policy Search. | Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel |
| 2019 | ICLR | Preferences Implicit in the State of the World. | Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca D. Dragan |
| 2019 | ICML | Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. | Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel |
| 2019 | ICML | Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. | Daniel Ho, Eric Liang, Xi Chen, Ion Stoica, Pieter Abbeel |
| 2019 | ICML | Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables. | Friso H. Kingma, Pieter Abbeel, Jonathan Ho |
| 2019 | ICML | On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. | Rohin Shah, Noah Gundotra, Pieter Abbeel, Anca D. Dragan |
| 2019 | ICML | SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. | Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine |
| 2019 | ICRA | Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation. | David V. Gealy, Stephen McKinley, Brent Yi, Philipp Wu, Phillip R. Downey, Greg Balke, Allan Zhao, Menglong Guo, Rachel Thomasson, Anthony Sinclair, Peter Cuellar, Zoe McCarthy, Pieter Abbeel |
| 2019 | ICRA | Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight. | Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine |
| 2019 | ICRA | Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly. | Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel |
| 2019 | ICRA | Domain Randomization for Active Pose Estimation. | Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel |
| 2019 | IROS | One-Shot Composition of Vision-Based Skills from Demonstration. | Tianhe Yu, Pieter Abbeel, Sergey Levine, Chelsea Finn |
| 2018 | AAAI | Emergence of Grounded Compositional Language in Multi-Agent Populations. | Igor Mordatch, Pieter Abbeel |
| 2018 | CoRL | Model-Based Reinforcement Learning via Meta-Policy Optimization. | Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel |
| 2018 | CoRL | Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation. | Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine |
| 2018 | ICLR | PixelSNAIL: An Improved Autoregressive Generative Model. | Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel |
| 2018 | ICLR | Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. | Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel |
| 2018 | ICLR | Meta Learning Shared Hierarchies. | Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, John Schulman |
| 2018 | ICLR | Model-Ensemble Trust-Region Policy Optimization. | Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel |
| 2018 | ICLR | A Simple Neural Attentive Meta-Learner. | Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, Pieter Abbeel |
| 2018 | ICLR | Parameter Space Noise for Exploration. | Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz |
| 2018 | ICLR | Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. | Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel |
| 2018 | ICLR | One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning. | Tianhe Yu, Chelsea Finn, Annie Xie, Sudeep Dasari, Tianhao Zhang, Pieter Abbeel, Sergey Levine |
| 2018 | ICML | PixelSNAIL: An Improved Autoregressive Generative Model. | Xi Chen, Nikhil Mishra, Mostafa Rohaninejad, Pieter Abbeel |
| 2018 | ICML | Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings. | John D. Co-Reyes, Yuxuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine |
| 2018 | ICML | Automatic Goal Generation for Reinforcement Learning Agents. | Carlos Florensa, David Held, Xinyang Geng, Pieter Abbeel |
| 2018 | ICML | Latent Space Policies for Hierarchical Reinforcement Learning. | Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel, Sergey Levine |
| 2018 | ICML | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor. | Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, Sergey Levine |
| 2018 | ICML | Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control. | Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn |
| 2018 | ICRA | Deep Object-Centric Representations for Generalizable Robot Learning. | Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine |
| 2018 | ICRA | Composable Deep Reinforcement Learning for Robotic Manipulation. | Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine |
| 2018 | ICRA | Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation. | Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine |
| 2018 | ICRA | Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation. | Yuxuan Liu, Abhishek Gupta, Pieter Abbeel, Sergey Levine |
| 2018 | ICRA | Overcoming Exploration in Reinforcement Learning with Demonstrations. | Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel |
| 2018 | ICRA | Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. | Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel |
| 2018 | IROS | Establishing Appropriate Trust via Critical States. | Sandy H. Huang, Kush Bhatia, Pieter Abbeel, Anca D. Dragan |
| 2018 | IROS | Domain Randomization and Generative Models for Robotic Grasping. | Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel |
| 2018 | ICRA | Learning Robotic Assembly from CAD. | Garrett Thomas, Melissa Chien, Aviv Tamar, Juan Aparicio Ojea, Pieter Abbeel |
| 2018 | ICRA | Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation. | Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, Pieter Abbeel |
| 2017 | AAAI | The Off-Switch Game. | Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | CoRL | One-Shot Visual Imitation Learning via Meta-Learning. | Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine |
| 2017 | CoRL | Reverse Curriculum Generation for Reinforcement Learning. | Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel |
| 2017 | CoRL | Mutual Alignment Transfer Learning. | Markus Wulfmeier, Ingmar Posner, Pieter Abbeel |
| 2017 | ICLR | Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning. | Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine |
| 2017 | ICLR | Variational Lossy Autoencoder. | Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel |
| 2017 | ICLR | Generalizing Skills with Semi-Supervised Reinforcement Learning. | Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine |
| 2017 | ICLR | Stochastic Neural Networks for Hierarchical Reinforcement Learning. | Carlos Florensa, Yan Duan, Pieter Abbeel |
| 2017 | ICLR | Adversarial Attacks on Neural Network Policies. | Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel |
| 2017 | ICLR | Learning Visual Servoing with Deep Features and Fitted Q-Iteration. | Alex X. Lee, Sergey Levine, Pieter Abbeel |
| 2017 | ICLR | Third Person Imitation Learning. | Bradly C. Stadie, Pieter Abbeel, Ilya Sutskever |
| 2017 | ICML | Constrained Policy Optimization. | Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel |
| 2017 | ICML | Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. | Chelsea Finn, Pieter Abbeel, Sergey Levine |
| 2017 | ICML | Reinforcement Learning with Deep Energy-Based Policies. | Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine |
| 2017 | ICML | Prediction and Control with Temporal Segment Models. | Nikhil Mishra, Pieter Abbeel, Igor Mordatch |
| 2017 | IJCAI | The Off-Switch Game. | Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | IJCAI | Value Iteration Networks. | Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel |
| 2017 | ICRA | Learning modular neural network policies for multi-task and multi-robot transfer. | Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine |
| 2017 | ICRA | Probabilistically safe policy transfer. | David Held, Zoe McCarthy, Michael Zhang, Fred Shentu, Pieter Abbeel |
| 2017 | ICRA | PLATO: Policy learning using adaptive trajectory optimization. | Gregory Kahn, Tianhao Zhang, Sergey Levine, Pieter Abbeel |
| 2017 | ICRA | Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states. | William Montgomery, Anurag Ajay, Chelsea Finn, Pieter Abbeel, Sergey Levine |
| 2017 | ICRA | Combining self-supervised learning and imitation for vision-based rope manipulation. | Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine |
| 2017 | IROS | Policy transfer via modularity and reward guiding. | Ignasi Clavera, David Held, Pieter Abbeel |
| 2017 | IROS | Domain randomization for transferring deep neural networks from simulation to the real world. | Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel |
| 2017 | ICRA | Learning from the hindsight plan - Episodic MPC improvement. | Aviv Tamar, Garrett Thomas, Tianhao Zhang, Sergey Levine, Pieter Abbeel |
| 2017 | ICRA | Deep reinforcement learning for tensegrity robot locomotion. | Marvin Zhang, Xinyang Geng, Jonathan Bruce, Ken Caluwaerts, Massimo Vespignani, Vytas SunSpiral, Pieter Abbeel, Sergey Levine |
| 2017 | UAI | Inverse Reinforcement Learning via Deep Gaussian Process. | Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos |
| 2016 | ICML | Benchmarking Deep Reinforcement Learning for Continuous Control. | Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel |
| 2016 | ICML | Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization. | Chelsea Finn, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Guided search for task and motion plans using learned heuristics. | Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel |
| 2016 | ICRA | Deep spatial autoencoders for visuomotor learning. | Chelsea Finn, Xin Yu Tan, Yan Duan, Trevor Darrell, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Combining model-based policy search with online model learning for control of physical humanoids. | Igor Mordatch, Nikhil Mishra, Clemens Eppner, Pieter Abbeel |
| 2016 | ICRA | TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. | Adithyavairavan Murali, Animesh Garg, Sanjay Krishnan, Florian T. Pokorny, Pieter Abbeel, Trevor Darrell, Ken Goldberg |
| 2016 | IROS | One-shot learning of manipulation skills with online dynamics adaptation and neural network priors. | Justin Fu, Sergey Levine, Pieter Abbeel |
| 2016 | IROS | Learning dexterous manipulation for a soft robotic hand from human demonstrations. | Abhishek Gupta, Clemens Eppner, Sergey Levine, Pieter Abbeel |
| 2016 | IROS | Sequential quadratic programming for task plan optimization. | Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel |
| 2016 | IROS | Occlusion-aware multi-robot 3D tracking. | Karol Hausman, Gregory Kahn, Sachin Patil, Jrg Mller, Ken Goldberg, Pieter Abbeel, Gaurav S. Sukhatme |
| 2016 | ICRA | Model-based reinforcement learning with parametrized physical models and optimism-driven exploration. | Chris Xie, Sachin Patil, Teodor Mihai Moldovan, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search. | Tianhao Zhang, Gregory Kahn, Sergey Levine, Pieter Abbeel |
| 2016 | ICRA | Learning deep neural network policies with continuous memory states. | Marvin Zhang, Zoe McCarthy, Chelsea Finn, Sergey Levine, Pieter Abbeel |
| 2016 | WAFR | Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. | Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell |
| 2015 | AAAI | Tractability of Planning with Loops. | Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell |
| 2015 | ICML | Alpha-Beta Divergences Discover Micro and Macro Structures in Data. | Karthik S. Narayan, Ali Punjani, Pieter Abbeel |
| 2015 | ICML | Trust Region Policy Optimization. | John Schulman, Sergey Levine, Pieter Abbeel, Michael I. Jordan, Philipp Moritz |
| 2015 | ICRA | Beyond lowest-warping cost action selection in trajectory transfer. | Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel |
| 2015 | ICRA | Active exploration using trajectory optimization for robotic grasping in the presence of occlusions. | Gregory Kahn, Peter Sujan, Sachin Patil, Shaunak D. Bopardikar, Julian Ryde, Kenneth Y. Goldberg, Pieter Abbeel |
| 2015 | ICRA | Physics-based trajectory optimization for grasping in cluttered environments. | Nikita Kitaev, Igor Mordatch, Sachin Patil, Pieter Abbeel |
| 2015 | ICRA | A non-rigid point and normal registration algorithm with applications to learning from demonstrations. | Alex X. Lee, Max A. Goldstein, Shane T. Barratt, Pieter Abbeel |
| 2015 | ICRA | Learning force-based manipulation of deformable objects from multiple demonstrations. | Alex X. Lee, Henry Lu, Abhishek Gupta, Sergey Levine, Pieter Abbeel |
| 2015 | ICRA | Learning contact-rich manipulation skills with guided policy search. | Sergey Levine, Nolan Wagener, Pieter Abbeel |
| 2015 | ICRA | GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming. | Jeffrey Mahler, Sachin Patil, Ben Kehoe, Jur van den Berg, Matei T. Ciocarlie, Pieter Abbeel, Ken Goldberg |
| 2015 | ICRA | Optimism-driven exploration for nonlinear systems. | Teodor Mihai Moldovan, Sergey Levine, Michael I. Jordan, Pieter Abbeel |
| 2015 | ICRA | Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms. | Adithyavairavan Murali, Siddarth Sen, Ben Kehoe, Animesh Garg, Seth McFarland, Sachin Patil, W. Douglas Boyd, Susan Lim, Pieter Abbeel, Kenneth Y. Goldberg |
| 2015 | ICRA | Range sensor and silhouette fusion for high-quality 3D Scanning. | Karthik S. Narayan, James Sha, Arjun Singh, Pieter Abbeel |
| 2015 | ICRA | Deep learning helicopter dynamics models. | Ali Punjani, Pieter Abbeel |
| 2015 | IROS | Modular task and motion planning in belief space. | Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel |
| 2015 | IROS | Learning compound multi-step controllers under unknown dynamics. | Weiqiao Han, Sergey Levine, Pieter Abbeel |
| 2015 | IROS | Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects. | Sandy H. Huang, Jia Pan, George Mulcaire, Pieter Abbeel |
| 2015 | IROS | Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation. | Alex X. Lee, Abhishek Gupta, Henry Lu, Sergey Levine, Pieter Abbeel |
| 2015 | IROS | Optimized color models for high-quality 3D scanning. | Karthik S. Narayan, Pieter Abbeel |
| 2015 | ICRA | Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver. | Christopher Xie, Jur P. van den Berg, Sachin Patil, Pieter Abbeel |
| 2015 | ISRR | Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning. | Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Gregory D. Hager, Pieter Abbeel, Ken Goldberg |
| 2014 | ECCV | Optimization-Based Artifact Correction for Electron Microscopy Image Stacks. | Samaneh Azadi, Jeremy Maitin-Shepard, Pieter Abbeel |
| 2014 | ICRA | Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization. | Yan Duan, Sachin Patil, John Schulman, Kenneth Y. Goldberg, Pieter Abbeel |
| 2014 | ICRA | Autonomous multilateral debridement with the Raven surgical robot. | Ben Kehoe, Gregory Kahn, Jeffrey Mahler, Jonathan Kim, Alex X. Lee, Anna Lee, Keisuke Nakagawa, Sachin Patil, W. Douglas Boyd, Pieter Abbeel, Kenneth Y. Goldberg |
| 2014 | ICRA | Predicting initialization effectiveness for trajectory optimization. | Jia Pan, Zhuo Chen, Pieter Abbeel |
| 2014 | ICRA | Gaussian belief space planning with discontinuities in sensing domains. | Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel |
| 2014 | IROS | Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. | Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel |
| 2014 | ICRA | BigBIRD: A large-scale 3D database of object instances. | Arjun Singh, James Sha, Karthik S. Narayan, Tudor Achim, Pieter Abbeel |
| 2014 | ICRA | Combined task and motion planning through an extensible planner-independent interface layer. | Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel |
| 2014 | WAFR | Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation. | Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel |
| 2014 | WAFR | Planning Curvature and Torsion Constrained Ribbons in 3D with Application to Intracavitary Brachytherapy. | Sachin Patil, Jia Pan, Pieter Abbeel, Ken Goldberg |
| 2013 | IROS | Grounding spatial relations for human-robot interaction. | Sergio Guadarrama, Lorenzo Riano, Dave Golland, Daniel Ghring, Yangqing Jia, Dan Klein, Pieter Abbeel, Trevor Darrell |
| 2013 | IROS | Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles. | Alex X. Lee, Yan Duan, Sachin Patil, John Schulman, Zoe McCarthy, Jur van den Berg, Ken Goldberg, Pieter Abbeel |
| 2013 | IROS | A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario. | John Schulman, Ankush Gupta, Sibi Venkatesan, Mallory Tayson-Frederick, Pieter Abbeel |
| 2013 | IROS | Multimodal blending for high-accuracy instance recognition. | Ziang Xie, Arjun Singh, Justin Uang, Karthik S. Narayan, Pieter Abbeel |
| 2013 | ICRA | Tracking deformable objects with point clouds. | John Schulman, Alex X. Lee, Jonathan Ho, Pieter Abbeel |
| 2013 | ISRR | Learning from Demonstrations Through the Use of Non-rigid Registration. | John Schulman, Jonathan Ho, Cameron Lee, Pieter Abbeel |
| 2012 | ICML | Safe Exploration in Markov Decision Processes . | Teodor Mihai Moldovan, Pieter Abbeel |
| 2012 | ICRA | A robot path planning framework that learns from experience. | Dmitry Berenson, Pieter Abbeel, Ken Goldberg |
| 2012 | IROS | Performance analysis and terrain classification for a legged robot over rough terrain. | Fernando Garcia Bermudez, Ryan C. Julian, Duncan W. Haldane, Pieter Abbeel, Ronald S. Fearing |
| 2012 | ICRA | A textured object recognition pipeline for color and depth image data. | Jie Tang, Stephen Miller, Arjun Singh, Pieter Abbeel |
| 2012 | WAFR | The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data. | Timothy Hunter, Pieter Abbeel, Alexandre M. Bayen |
| 2011 | CLOUD | Scaling the mobile millennium system in the cloud. | Timothy Hunter, Teodor Mihai Moldovan, Matei Zaharia, Samy Merzgui, Justin Ma, Michael J. Franklin, Pieter Abbeel, Alexandre M. Bayen |
| 2011 | ICRA | Bringing clothing into desired configurations with limited perception. | Marco F. Cusumano-Towner, Arjun Singh, Stephen Miller, James F. O'Brien, Pieter Abbeel |
| 2011 | ICRA | Modeling and perception of deformable one-dimensional objects. | Shervin Javdani, Sameep Tandon, Jie Tang, James F. O'Brien, Pieter Abbeel |
| 2011 | ICRA | Parametrized shape models for clothing. | Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel |
| 2011 | IROS | EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles. | Leonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Kenneth Y. Goldberg |
| 2011 | IROS | Perception for the manipulation of socks. | Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel |
| 2011 | ISRR | Grasping and Fixturing as Submodular Coverage Problems. | John D. Schulman, Ken Goldberg, Pieter Abbeel |
| 2010 | ICRA | Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations. | Jur van den Berg, Stephen Miller, Daniel Duckworth, Humphrey Hu, Andrew Wan, Xiao-Yu Fu, Kenneth Y. Goldberg, Pieter Abbeel |
| 2010 | ICRA | On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms. | Pl Johan From, Jan Tommy Gravdahl, Pieter Abbeel |
| 2010 | ICRA | Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding. | Jeremy Maitin-Shepard, Marco F. Cusumano-Towner, Jinna Lei, Pieter Abbeel |
| 2010 | ICRA | Parameterized maneuver learning for autonomous helicopter flight. | Jie Tang, Arjun Singh, Nimbus Goehausen, Pieter Abbeel |
| 2010 | WAFR | Gravity-Based Robotic Cloth Folding. | Jur van den Berg, Stephen Miller, Kenneth Y. Goldberg, Pieter Abbeel |
| 2010 | WAFR | LQG-Based Planning, Sensing, and Control of Steerable Needles. | Jur van den Berg, Sachin Patil, Ron Alterovitz, Pieter Abbeel, Kenneth Y. Goldberg |
| 2008 | ICML | Learning for control from multiple demonstrations. | Adam Coates, Pieter Abbeel, Andrew Y. Ng |
| 2008 | IROS | Apprenticeship learning for motion planning with application to parking lot navigation. | Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng, Sebastian Thrun |
| 2006 | AAAI | Efficient L1 Regularized Logistic Regression. | Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng |
| 2006 | ICML | Using inaccurate models in reinforcement learning. | Pieter Abbeel, Morgan Quigley, Andrew Y. Ng |
| 2005 | ICML | Exploration and apprenticeship learning in reinforcement learning. | Pieter Abbeel, Andrew Y. Ng |
| 2005 | UAI | Learning Factor Graphs in Polynomial Time & Sample Complexity. | Pieter Abbeel, Daphne Koller, Andrew Y. Ng |
| 2004 | ICML | Apprenticeship learning via inverse reinforcement learning. | Pieter Abbeel, Andrew Y. Ng |
| 2002 | UAI | Discriminative Probabilistic Models for Relational Data. | Benjamin Taskar, Pieter Abbeel, Daphne Koller |