Pieter Abbeel

A StrongREJECT for Empty Jailbreaks

Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer

Comments Code and data at https://strong-reject.readthedocs.io/en/latest/

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Comments Accepted in International Journal of Robotics Research (IJRR) 2024. This is the author's version and will no longer be updated as the copyright may get transferred at anytime

Body Transformer: Leveraging Robot Embodiment for Policy Learning

Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel

Semi-Supervised One-Shot Imitation Learning

Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel

Journal ref Reinforcement Learning Journal 1 (2024)

Visual Representation Learning with Stochastic Frame Prediction

Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

Comments International Conference on Machine Learning (ICML) 2024

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

Comments NeurIPS 2024. Project webpage: https://sites.google.com/view/rl-vcse

Offline Imitation Learning Through Graph Search and Retrieval

Zhao-Heng Yin, Pieter Abbeel

Comments Robotics: Science and Systems (RSS) 2024

GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators

Philipp Wu, Yide Shentu, Zhongke Yi, Xingyu Lin, Pieter Abbeel

Any-point Trajectory Modeling for Policy Learning

Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel

Comments 18 pages, 15 figures

HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation

Carmelo Sferrazza, Dun-Ming Huang, Xingyu Lin, Youngwoon Lee, Pieter Abbeel

Scalable Diffusion for Materials Generation

Sherry Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk

Comments https://unified-materials.github.io/

Learning to Model the World with Language

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca Dragan

Comments ICML 2024. Website: https://dynalang.github.io/

Managing extreme AI risks amid rapid progress

Yoshua Bengio, Geoffrey Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Trevor Darrell, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atılım Güneş Baydin, Sheila McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca Dragan, Philip Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann

Comments Published in Science: https://www.science.org/doi/10.1126/science.adn0117

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning

Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica

Comments Preprint, Currently Under Review

Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs

Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen

Comments ICRA 2024

Video as the New Language for Real-World Decision Making

Sherry Yang, Jacob Walker, Jack Parker-Holder, Yilun Du, Jake Bruce, Andre Barreto, Pieter Abbeel, Dale Schuurmans

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings

Kevin Frans, Seohong Park, Pieter Abbeel, Sergey Levine

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

Vint Lee, Pieter Abbeel, Youngwoon Lee

Comments For code and website, see https://vint-1.github.io/dreamsmooth/

Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, Stuart Russell

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

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

Comments Project website: https://eai-vc.github.io

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

Comments Accepted to the Conference on Robot Learning (CORL) 2023

Motion-Conditioned Image Animation for Video Editing

Wilson Yan, Andrew Brown, Pieter Abbeel, Rohit Girdhar, Samaneh Azadi

Comments Project page: https://facebookresearch.github.io/MoCA

Ring Attention with Blockwise Transformers for Near-Infinite Context

Hao Liu, Matei Zaharia, Pieter Abbeel

Comments Code: https://github.com/lhao499/llm_large_context

Exploration with Principles for Diverse AI Supervision

Hao Liu, Matei Zaharia, Pieter Abbeel

Learning Universal Policies via Text-Guided Video Generation

Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel

Comments NeurIPS 2023, Project Website: https://universal-policy.github.io/

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation

Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim

Comments 31 pages, 12 figures, Accepted at NeurIPS 2023

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

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

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

Comments NeurIPS 2023

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks

Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel