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Pieter Abbeel

UC Berkeley professor, co-founder of Covariant and Embodied Intelligence; one of the most influential roboticists and deep-RL researchers.

Role
professor
Papers
46

Cite

Notes

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46papers

Authored papers

46

World Model for Robot Learning: A Comprehensive Survey

arXiv 2026

2026

Offline Materials Optimization with CliqueFlowmer

arXiv 2026

2026

Diffusion Guidance Is a Controllable Policy Improvement Operator

arXiv 2025

2025

DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy

arXiv 2025

2025

SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending

arXiv 2025

2025

Intrinsically-Motivated Humans and Agents in Open-World Exploration

arXiv 2025

2025

Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding

arXiv 2025

2025

OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction

arXiv 2025

2025

Large Video Planner Enables Generalizable Robot Control

arXiv 2025

2025

Learning Sim-to-Real Humanoid Locomotion in 15 Minutes

arXiv 2025

2025

World Model on Million-Length Video And Language With Blockwise RingAttention

arXiv 2024

2024

One Step Diffusion via Shortcut Models

arXiv 2024

2024

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

arXiv 2024

2024

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction

CVPR 2025 1

2024

Body Transformer: Leveraging Robot Embodiment for Policy Learning

arXiv 2024

2024

A StrongREJECT for Empty Jailbreaks

arXiv 2024

2024

Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings

arXiv 2024

2024

Blockwise Parallel Transformer for Large Context Models

arXiv 2023

2023

Ring Attention with Blockwise Transformers for Near-Infinite Context

arXiv 2023

2023

Train Offline, Test Online: A Real Robot Learning Benchmark

arXiv 2023

2023

Interactive Task Planning with Language Models

arXiv 2023

2023

Controllability-Aware Unsupervised Skill Discovery

arXiv 2023

2023

Chain of Hindsight Aligns Language Models with Feedback

arXiv 2023

2023

Masked Trajectory Models for Prediction, Representation, and Control

arXiv 2023

2023

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

arXiv 2023

2023

Guiding Pretraining in Reinforcement Learning with Large Language Models

arXiv 2023

2023

Multi-View Masked World Models for Visual Robotic Manipulation

arXiv 2023

2023

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning

arXiv 2022

2022

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

language-models-as-zero-shot-planners

2022

Temporally Consistent Transformers for Video Generation

arXiv 2022

2022

Masked Autoencoding for Scalable and Generalizable Decision Making

arXiv 2022

2022

Decision Transformer: Reinforcement Learning via Sequence Modeling

NeurIPS 2021 12

2021

Mastering Atari Games with Limited Data

NeurIPS 2021 12

2021

VideoGPT: Video Generation using VQ-VAE and Transformers

arXiv 2021

2021

Pretrained Transformers as Universal Computation Engines

arXiv 2021

2021

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

ICCV 2021 10

2021

Denoising Diffusion Probabilistic Models

NeurIPS 2020 12

2020

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

arXiv 2020

2020

Evaluating Protein Transfer Learning with TAPE

evaluating-protein-transfer-learning-with-1

2019

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

flow-improving-flow-based-generative-models-1

2019

Goal-conditioned Imitation Learning

goal-conditioned-imitation-learning-1

2019

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

soft-actor-critic-off-policy-maximum-entropy-1

2018

Soft Actor-Critic Algorithms and Applications

arXiv 2018

2018

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

multi-agent-actor-critic-for-mixed-1

2017

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

model-agnostic-meta-learning-for-fast-1

2017

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

arXiv 2017

2017

Affiliations

Currently at

University of California, Berkeley

professor · university lab

Frequent co-authors

10

from 46 papers