Pieter Abbeel

Aligning Text-to-Image Models using Human Feedback

Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu

Teachable Reinforcement Learning via Advice Distillation

Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta

Comments Published at NeurIPS 2021

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

Zhao Mandi, Pieter Abbeel, Stephen James

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment

Hao Liu, Wilson Yan, Pieter Abbeel

Comments Fixed typos

Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models

Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel

Comments Added T-FCM and better FCM results

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets

David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

Ajay Jain, Amber Xie, Pieter Abbeel

Comments Project webpage: https://ajayj.com/vectorfusion

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

Comments CoRL 2022 Oral

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

Comments 7 pages, 6 figures, Project homepage: https://appsrv.cse.cuhk.edu.hk/~kaichen/stereopose.html

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

John So, Amber Xie, Sunggoo Jung, Jeffrey Edlund, Rohan Thakker, Ali Agha-mohammadi, Pieter Abbeel, Stephen James

Comments CoRL 2022 Paper

Dichotomy of Control: Separating What You Can Control from What You Cannot

Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum

Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions

Weirui Ye, Pieter Abbeel, Yang Gao

Journal ref Published at NeurIPS 2022

Multimodal Masked Autoencoders Learn Transferable Representations

Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurmans, Sergey Levine, Pieter Abbeel

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation

Albert Zhan, Ruihan Zhao, Lerrel Pinto, Pieter Abbeel, Michael Laskin

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction

YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen

Comments In ECCV 2022. Code and dataset are available at https://bbox.yuxuanliu.com

Real-World Robot Learning with Masked Visual Pre-training

Ilija Radosavovic, Tete Xiao, Stephen James, Pieter Abbeel, Jitendra Malik, Trevor Darrell

Comments CoRL 2022; Project page: https://tetexiao.com/projects/real-mvp

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

Journal ref ICML 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator

Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel

Comments Extended draft of the paper accepted to ICIP 2022 conference

Multi-Objective Policy Gradients with Topological Constraints

Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel

AdaCat: Adaptive Categorical Discretization for Autoregressive Models

Qiyang Li, Ajay Jain, Pieter Abbeel

Comments Uncertainty in Artificial Intelligence (UAI) 2022 13 pages, 4 figures

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

Comments Accepted to ECCV 2022

DayDreamer: World Models for Physical Robot Learning

Philipp Wu, Alejandro Escontrela, Danijar Hafner, Ken Goldberg, Pieter Abbeel

Comments Website: https://danijar.com/daydreamer

Patch-based Object-centric Transformers for Efficient Video Generation

Wilson Yan, Ryo Okumura, Stephen James, Pieter Abbeel

Comments Project Website: https://sites.google.com/view/povt-public

Reinforcement Learning with Action-Free Pre-Training from Videos

Younggyo Seo, Kimin Lee, Stephen James, Pieter Abbeel

Comments International Conference on Machine Learning (ICML 2022). Project page: https://sites.google.com/view/rl-apv

Deep Hierarchical Planning from Pixels

Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel

Comments Website: https://danijar.com/director

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel

Comments ICLR 2022. Last two authors advised equally

DoorGym: A Scalable Door Opening Environment And Baseline Agent

Yusuke Urakami, Alec Hodgkinson, Casey Carlin, Randall Leu, Luca Rigazio, Pieter Abbeel

Comments Accepted to NeurIPS2019 Deep Reinforcement Learning Workshop. Full version

Chain of Thought Imitation with Procedure Cloning

Mengjiao Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum

An Empirical Investigation of Representation Learning for Imitation

Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah

Comments Accepted to NeurIPS2021 Datasets and Benchmarks Track