Pieter Abbeel

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 618

Top Venues

CoRR

ICRA

ICML

NeurIPS

Publications

Toru Lin, Zhao-Heng Yin, Haozhi Qi, Pieter Abbeel, Jitendra Malik
Twisting Lids Off with Two Hands. CoRR (2024)
Vint Lee, Pieter Abbeel, Youngwoon Lee
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing. ICLR (2024)
Jakub Grudzien Kuba, Masatoshi Uehara, Pieter Abbeel, Sergey Levine
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. CoRR (2024)
Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen
Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. CoRR (2024)
Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Visual Representation Learning with Stochastic Frame Prediction. CoRR (2024)
Zhao-Heng Yin, Pieter Abbeel
Offline Imitation Learning Through Graph Search and Retrieval. CoRR (2024)
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 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 Schölkopf, 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 Büchler, 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 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, João Silvério, 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 Sünderhauf, 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 Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, 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
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA (2024)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR (2024)
Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel
World Model on Million-Length Video And Language With RingAttention. CoRR (2024)
Yide Shentu, Philipp Wu, Aravind Rajeswaran, Pieter Abbeel
From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control. CoRR (2024)
Carmelo Sferrazza, Dun-Ming Huang, Xingyu Lin, Youngwoon Lee, Pieter Abbeel
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation. CoRR (2024)
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR (2024)
Vint Lee, Chun Deng, Leena Elzeiny, Pieter Abbeel, John Wawrzynek
Chip Placement with Diffusion. CoRR (2024)
Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings. CoRR (2024)
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Leslie Pack Kaelbling, Dale Schuurmans, Pieter Abbeel
Learning Interactive Real-World Simulators. ICLR (2024)
Kuba Grudzien Kuba, Masatoshi Uehara, Sergey Levine, Pieter Abbeel
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. AISTATS (2024)
Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Network. ICRA (2024)
Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer
A StrongREJECT for Empty Jailbreaks. CoRR (2024)
Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel
Any-point Trajectory Modeling for Policy Learning. CoRR (2024)
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
Video Language Planning. ICLR (2024)
Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen
Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. ICRA (2024)
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
The False Promise of Imitating Proprietary Language Models. ICLR (2024)
Sherry Yang, Jacob Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, André Barreto, Pieter Abbeel, Dale Schuurmans
Video as the New Language for Real-World Decision Making. CoRR (2024)
Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
Probabilistic Adaptation of Black-Box Text-to-Video Models. ICLR (2024)
Hao Liu, Matei Zaharia, Pieter Abbeel
RingAttention with Blockwise Transformers for Near-Infinite Context. ICLR (2024)
Hao Liu, Carmelo Sferrazza, Pieter Abbeel
Chain of Hindsight aligns Language Models with Feedback. ICLR (2024)
Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning. CoRR (2024)
Sherry Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
Scalable Diffusion for Materials Generation. ICLR (2024)
Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine
MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting. CoRR (2024)
Weirui Ye, Yunsheng Zhang, Pieter Abbeel, Yang Gao
Become a Proficient Player with Limited Data through Watching Pure Videos. ICLR (2023)
Hao Liu, Matei Zaharia, Pieter Abbeel
Ring Attention with Blockwise Transformers for Near-Infinite Context. CoRR (2023)
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. CoRR (2023)
Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks. CoRR (2023)
Kourosh Hakhamaneshi, Marcel Nassar, Mariano Phielipp, Pieter Abbeel, Vladimir Stojanovic
Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. NeurIPS (2023)
Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James
Language-Conditioned Path Planning. CoRL (2023)
Xinran Liang, Anthony Han, Wilson Yan, Aditi Raghunathan, Pieter Abbeel
ALP: Action-Aware Embodied Learning for Perception. CoRR (2023)
Hiroshi Yoshitake, Pieter Abbeel
The Impact of Overall Optimization on Warehouse Automation. CoRR (2023)
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. CoRR (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML (2023)
Hao Liu, Pieter Abbeel
Blockwise Parallel Transformers for Large Context Models. NeurIPS (2023)
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
Multi-View Masked World Models for Visual Robotic Manipulation. ICML (2023)
Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN. CoRR (2023)
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
Train Offline, Test Online: A Real Robot Learning Benchmark. CoRR (2023)
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS (2023)
Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel
Temporally Consistent Transformers for Video Generation. ICML (2023)
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. ICML (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR (2023)
Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song
The False Promise of Imitating Proprietary LLMs. CoRR (2023)
Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL (2023)
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems (2023)
Hao Liu, Wilson Yan, Pieter Abbeel
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. CoRR (2023)
Wilson Yan, Andrew Brown, Pieter Abbeel, Rohit Girdhar, Samaneh Azadi
Motion-Conditioned Image Animation for Video Editing. CoRR (2023)
Joey Hejna, Pieter Abbeel, Lerrel Pinto
Improving Long-Horizon Imitation Through Instruction Prediction. CoRR (2023)
Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan
Learning to Model the World with Language. CoRR (2023)
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. NeurIPS (2023)
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Preference Transformer: Modeling Human Preferences using Transformers for RL. CoRR (2023)
Mengjiao Yang, Yilun Du, Kamyar Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
Learning Interactive Real-World Simulators. CoRR (2023)
Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann
Managing AI Risks in an Era of Rapid Progress. CoRR (2023)
Yuxuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN. ICRA (2023)
Vint Lee, Pieter Abbeel, Youngwoon Lee
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing. CoRR (2023)
David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. ICML (2023)
Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, Yang Gao
Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance. CoRR (2023)
Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
Learning Universal Policies via Text-Guided Video Generation. NeurIPS (2023)
Hiroshi Yoshitake, Pieter Abbeel
The Impact of Overall Optimization on Warehouse Automation. IROS (2023)
Hao Liu, Pieter Abbeel
Emergent Agentic Transformer from Chain of Hindsight Experience. ICML (2023)
Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel
Controllability-Aware Unsupervised Skill Discovery. ICML (2023)
Hao Liu, Wilson Yan, Pieter Abbeel
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. NeurIPS (2023)
Mengjiao Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
Scalable Diffusion for Materials Generation. CoRR (2023)
Hao Liu, Pieter Abbeel
Emergent Agentic Transformer from Chain of Hindsight Experience. CoRR (2023)
Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel
Multi-View Masked World Models for Visual Robotic Manipulation. CoRR (2023)
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? CoRR (2023)
Hao Liu, Carmelo Sferrazza, Pieter Abbeel
Chain of Hindsight Aligns Language Models with Feedback. CoRR (2023)
Jiangliu Wang, Jianbo Jiao, Yibing Song, Stephen James, Zhan Tong, Chongjian Ge, Pieter Abbeel, Yunhui Liu
Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training. CoRR (2023)
Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Video Prediction Models as Rewards for Reinforcement Learning. NeurIPS (2023)
Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. CoRR (2023)
Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James
Language-Conditioned Path Planning. CoRR (2023)
Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration. CoRR (2023)
Joey Hejna, Pieter Abbeel, Lerrel Pinto
Improving Long-Horizon Imitation through Instruction Prediction. AAAI (2023)
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning. CoRR (2023)
Yilun Du, Mengjiao 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
Video Language Planning. CoRR (2023)
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
Masked Trajectory Models for Prediction, Representation, and Control. CoRR (2023)
Yuxuan Liu, Xi Chen, Pieter Abbeel
Self-Supervised Instance Segmentation by Grasping. IROS (2023)
Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik
Interactive Task Planning with Language Models. CoRR (2023)
Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation. NeurIPS (2023)
Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel
Probabilistic Adaptation of Text-to-Video Models. CoRR (2023)
Hao Liu, Matei Zaharia, Pieter Abbeel
Exploration with Principles for Diverse AI Supervision. CoRR (2023)
Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation. CoRR (2023)
Ademi Adeniji, Amber Xie, Carmelo Sferrazza, Younggyo Seo, Stephen James, Pieter Abbeel
Language Reward Modulation for Pretraining Reinforcement Learning. CoRR (2023)
Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. IROS (2023)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR (2023)
Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. ICML (2023)
Sherry Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Dichotomy of Control: Separating What You Can Control from What You Cannot. ICLR (2023)
Ajay Jain, Amber Xie, Pieter Abbeel
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models. CVPR (2023)
Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel
Controllability-Aware Unsupervised Skill Discovery. CoRR (2023)
Michael Psenka, Alejandro Escontrela, Pieter Abbeel, Yi Ma
Learning a Diffusion Model Policy from Rewards via Q-Score Matching. CoRR (2023)
Sherry Yang, Ofir Nachum, Yilun Du, Jason Wei, Pieter Abbeel, Dale Schuurmans
Foundation Models for Decision Making: Problems, Methods, and Opportunities. CoRR (2023)
Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. ICRA (2023)
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
Train Offline, Test Online: A Real Robot Learning Benchmark. ICRA (2023)
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Preference Transformer: Modeling Human Preferences using Transformers for RL. ICLR (2023)

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Publication Activity (10 Years)

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Pieter Abbeel