Lessie AI
Platform
Resources
Pricing
Find Influencer
Find Client
Find Investor
Find Talent
Find Partner
Resources
Pricing
Blog
FAQ
Profile
  1. Home
  2. Researcher
  3. Pieter Abbeel
Lessie AI
Platform
  • Find Influencer
  • Find Client
  • Find Investor
  • Find Talent
  • Find Partner
Terms & Policies
  • Term of Service
  • Privacy Policy
Resource
  • Pricing
  • Blog
  • FAQ
  • Profile
Company
  • About Us
  • Contact Us
Contact
  • X
  • YouTube
  • LinkedIn
  • Discord
    Badge
© 2025 SUPERLINEAR PTE. LTD. All rights reserved
Pieter AbbeelPieter Abbeel

Pieter Abbeel

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

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.

PhD, Stanford University
United States
TwitterTwitter
InstagramInstagram723
YouTubeYouTube24.9K
Artificial IntelligenceRoboticsEducation
31.1K
LinkedIn Followers
24.9K
YouTube Subscribers
1.8M
Total YouTube Views
2 (Covariant, Gradescope)
Companies Co-Founded
Search More

Work Experience

AmazonAmazon
Amazon

Distinguished Scientist, VP, Scholar

Sep 2024 - Present
Position
Distinguished Scientist, VP, Scholar
University of California, BerkeleyUniversity 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 VenturesAIX Ventures
AIX Ventures

Founding Investment Partner

Aug 2021 - Nov 2024
Responsibilities
Try my best to help AI start-ups
covariant.aicovariant.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 PodcastThe 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
G
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!
OpenAIOpenAI
OpenAI

Research Scientist

Jun 2016 - Sep 2017
Position
Research Scientist
Stanford UniversityStanford University
Stanford University

Ph.D. student

2002 - 2008
Position
Ph.D. student
Katholieke Universiteit LeuvenKatholieke Universiteit Leuven
Katholieke Universiteit Leuven

Undergrad Electrical Engineering

1995 - 2000
Position
Undergrad Electrical Engineering

Education

Stanford UniversityStanford University
Stanford University

Doctor of Philosophy (PhD)

2002 - 2008
Field of Study
Doctor of Philosophy (PhD) - Computer Science
Stanford UniversityStanford University
Stanford University

Master of Science (MS)

2000 - 2002
Field of Study
Master of Science (MS) - Computer Science
KU LeuvenKU Leuven
KU Leuven

BS/MS

1995 - 2000
Field of Study
BS/MS - Electrical Engineering
Sint Michielscollege BrasschaatSint Michielscollege Brasschaat
Sint Michielscollege Brasschaat

High School

1989 - 1995
Field of Study
High School

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 LearningDeep Imitation LearningMeta-LearningUnsupervised LearningSelf-Supervised Learning
Technical Expertise
RoboticsArtificial IntelligenceMachine LearningComputer VisionAlgorithms

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
L8 Large Language Models (LLMs) --- Guest Instructor Hao LiuL8 Large Language Models (LLMs) --- Guest Instructor Hao Liu
L8 Large Language Models (LLMs) --- Guest Instructor Hao Liu

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/13YWiY4LLv_qshkSglpDh2VRnAbBHB6SX/v

2024-03-11
4.1K
View

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.

Ready to get more information?

Start for free