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
Work Experience
Amazon
Distinguished Scientist, VP, Scholar
Position
Distinguished Scientist, VP, Scholar
University of California, Berkeley
Professor
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
Founding Investment Partner
Responsibilities
Try my best to help AI start-ups
covariant.ai
Co-Founder, President, Chief Scientist
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
Podcast Host
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
Co-Founder
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
Research Scientist
Position
Research Scientist
Stanford University
Ph.D. student
Position
Ph.D. student
Katholieke Universiteit Leuven
Undergrad Electrical Engineering
Position
Undergrad Electrical Engineering
Education
Stanford University
Doctor of Philosophy (PhD)
Field of Study
Doctor of Philosophy (PhD) - Computer Science
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
Recent Posts
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.
