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  1. Home
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  3. Pieter Abbeel
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Pieter Abbeel

Pieter Abbeel

Professor, Director of the Robot Learning Lab / UC Berkeley / Distinguished Scientist, VP, Scholar / Amazon

CountryUnited States
EducationPhD, Stanford University
Known ForMachine Learning, Robotics, Deep Reinforcement Learning, AI Research, Entrepreneurship
Twitter
Instagram723
YouTube24.9K
LinkedIn31.1K
Artificial IntelligenceRoboticsEducation
LinkedIn Followers
31.1K
YouTube Subscribers
24.9K
Total YouTube Views
1.8M
Companies Co-Founded
2 (Covariant, Gradescope)
Search More

About Pieter Abbeel

Pieter Abbeel is a highly influential figure in the fields of machine learning and robotics, serving as a Professor and Director of the Robot Learning Lab at UC Berkeley. He is a co-founder of covariant.ai and Gradescope, an advisor to OpenAI, and an Investment Partner at AIX Ventures. His pioneering research focuses on deep reinforcement learning, deep imitation learning, and meta-learning, with his work frequently featured in popular media.

Education

Stanford University
Stanford University

Doctor of Philosophy (PhD)

2002 - 2008
Field of Study

Doctor of Philosophy (PhD) - Computer Science

Stanford University
Stanford University

Master of Science (MS)

2000 - 2002
Field of Study

Master of Science (MS) - Computer Science

KU Leuven
KU Leuven

BS/MS

1995 - 2000
Field of Study

BS/MS - Electrical Engineering

Sint Michielscollege Brasschaat
Sint Michielscollege Brasschaat

High School

1989 - 1995
Field of Study

High School

Work Experience

Amazon
Amazon

Distinguished Scientist, VP, Scholar

Sep 2024 - Present
Position

Distinguished Scientist, VP, Scholar

University of California, Berkeley
University of California, Berkeley

Professor

Aug 2008 - Present
Responsibilities

Research and teaching in artificial intelligence and robotics. Lately, that largely means in deep learning, reinforcement learning, unsupervised learning, self-supervised learning, meta-learning.

Some things we invented in our research: Diffusion Models, TRPO, MAML, InfoGAN, SAC, GAE, MA-DDPG, Domain Randomization, Hindsight Experience Replay...

Some classes I teach:

- Deep Unsupervised Learning: https://sites.google.com/view/berkeley-cs294-158-sp20/home

- Intro to AI: https://inst.eecs.berkeley.edu/~cs188/fa18/staff.html

- The Business of AI: https://faculty.haas.berkeley.edu/zskatona/ewmba267-11-s21.html

AIX Ventures
AIX Ventures

Founding Investment Partner

Aug 2021 - Nov 2024
Responsibilities

Try my best to help AI start-ups

covariant.ai
covariant.ai

Co-Founder, President, Chief Scientist

Oct 2017 - Aug 2024
Responsibilities

Drawing on recent advances in Deep Imitation Learning and Deep Reinforcement Learning, Embodied Intelligence is developing AI software that makes it easy to teach robots new, complex skills.

The Robot Brains Podcast
The Robot Brains Podcast

Podcast Host

Mar 2021 - Sep 2023
Responsibilities

In each episode of The Robot Brains podcast (coming soon), renowned artificial intelligence researcher, professor and entrepreneur Pieter Abbeel meets the brilliant minds attempting to build robots with brains. Pieter is joined by leading experts in AI Robotics from all over the world as he explores how far humanity has come in its mission to create conscious computers, mindful machines and rational robots.

https://open.spotify.com/show/2qbLq3HrhTnnmmsHc37QOD

Gradescope
Gradescope

Co-Founder

Oct 2014 - Oct 2018
Responsibilities

Gradescope was acquired by TurnItIn in Fall 2018! Gradescope is a web-app that streamlines grading, with instructors reporting it allows them to grade 2x faster while also improving accuracy, consistency and transparency, and without compromising on assessment format. It's free, you should try it out if you 'd like to spend less time on grading without compromising on quality!

OpenAI
OpenAI

Research Scientist

Jun 2016 - Sep 2017
Position

Research Scientist

Stanford University
Stanford University

Ph.D. student

2002 - 2008
Position

Ph.D. student

Katholieke Universiteit Leuven
Katholieke Universiteit Leuven

Undergrad Electrical Engineering

1995 - 2000
Position

Undergrad Electrical Engineering

Expertise and Focus

Pieter Abbeel is a leading figure in AI and Robotics, known for his pioneering work in deep reinforcement learning, deep imitation learning, and meta-learning. His research has led to significant advancements in robot learning, enabling machines to acquire complex skills from human demonstration and self-trial. He is also a successful entrepreneur and investor in the AI space.

Core Research Areas

Deep Reinforcement Learning

Deep Imitation Learning

Meta-Learning

Unsupervised Learning

Self-Supervised Learning

Technical Expertise

Robotics

Artificial Intelligence

Machine Learning

Computer Vision

Algorithms

Key Inventions

Diffusion Models

TRPO

MAML

SAC

Domain Randomization

Professional Roles

Entrepreneurship

Venture Capital

Education Technology

Podcast Host

Skills and Technologies

Robotics

Expert in teaching robots complex skills through trial and error and learning from human demonstrations.

Computer Science

Deep knowledge in algorithms, pattern recognition, and scientific computing.

Machine Learning

Specializes in Deep Learning, Reinforcement Learning, and Meta-Learning.

Programming & Tools

Proficient in Python, Matlab, and LaTeX for research and development.

Recent Posts

L12b Parallelization -- Instructor: Wilson YanL12b Parallelization -- Instructor: Wilson Yan
L12b Parallelization -- Instructor: Wilson Yan

CS294-158 Deep Unsupervised Learning UC Berkeley Spring 2024 Instructors: Pieter Abbeel, Kevin Frans, Philipp Wu, Wilson Yan slides: https://drive.google.com/file/d/1GFL3XMB96EZs5Yg0tbQal8ZEyqHQ58hp/v

2024-04-27
3.6K
View
L12a Multimodal Models  -- Instructor: Wilson YanL12a Multimodal Models  -- Instructor: Wilson Yan
L12a Multimodal Models -- Instructor: Wilson Yan

CS294-158 Deep Unsupervised Learning UC Berkeley Spring 2024 Instructors: Pieter Abbeel, Kevin Frans, Philipp Wu, Wilson Yan Slides: https://drive.google.com/file/d/1GFL3XMB96EZs5Yg0tbQal8ZEyqHQ58hp/v

2024-04-27
3.4K
View
L13b Neural Radiance Fields  -- Guest Lecturer Ben MildenhallL13b Neural Radiance Fields  -- Guest Lecturer Ben Mildenhall
L13b Neural Radiance Fields -- Guest Lecturer Ben Mildenhall

CS294-158 Deep Unsupervised Learning UC Berkeley Spring 2024 Instructors: Pieter Abbeel, Kevin Frans, Philipp Wu, Wilson Yan course website: https://sites.google.com/view/berkeley-cs294-158-sp24/home

2024-04-20
4.1K
View
L13a Generative Modeling for Science -- Guest Lecturer John IngrahamL13a Generative Modeling for Science -- Guest Lecturer John Ingraham
L13a Generative Modeling for Science -- Guest Lecturer John Ingraham

CS294-158 Deep Unsupervised Learning UC Berkeley Spring 2024 Instructors: Pieter Abbeel, Kevin Frans, Philipp Wu, Wilson Yan course website: https://sites.google.com/view/berkeley-cs294-158-sp24/home

2024-04-20
3.1K
View
L10 Semisupervised Learning and Unsupervised Distribution Alignment -- UC Berkeley Sprint 2024L10 Semisupervised Learning and Unsupervised Distribution Alignment -- UC Berkeley Sprint 2024
L10 Semisupervised Learning and Unsupervised Distribution Alignment -- UC Berkeley Sprint 2024

CS294-158 Deep Unsupervised Learning, UC Berkeley Spring 2024 Instructors: Pieter Abbeel, Kevin Frans, Philipp Wu, Wilson Yan course website: https://sites.google.com/view/berkeley-cs294-158-sp24/home

2024-03-22
2.7K
View
L9 Generative Video -- UC Berkeley, Spring 2024 -- Wilson YanL9 Generative Video -- UC Berkeley, Spring 2024 -- Wilson Yan
L9 Generative Video -- UC Berkeley, Spring 2024 -- Wilson Yan

CS294-158 Deep Unsupervised Learning UC Berkeley Spring 2024 Instructors: Pieter Abbeel, Kevin Frans, Philipp Wu, Wilson Yan slides: https://docs.google.com/presentation/d/1bR_LDG9FUjYue59Y-YoRUnJRdTQ

2024-03-15
3.4K
View

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