Professor, UC Berkeley, EECS, BAIR, CHAI (2008- )
Director of the Berkeley Robot Learning Lab
Co-Director of the Berkeley Artficial Intelligence Research (BAIR) lab
Co-Founder, President, and Chief Scientist covariant.ai (2017- )
Co-Founder berkeleyopenarms.org (2019- )
Research Scientist (2016-2017), Advisor (2018- ) OpenAI
Co-Founder Gradescope (2014-2018: Acquired by TurnItIn)

Some companies I am actively advising: Preferred Networks, Deep Valley Labs, Dishcraft Robotics, Off World, TensorFlight, Traptic, onai, inzone.ai, Onyx Fit, SuperAnnotate, January

I enjoyed acting in this Verizon commercial (aired nationally over 500 times :).

I frequently host executive groups for lectures and discussions on recent advances and trends in Artificial Intelligence. (Feel free to email me to check my availability.)

An interview by my undergrad school KU Leuven covering some of my background: here

Pieter Abbeel
746 Sutardja Dai Hall #1758 (Google maps)
Berkeley, CA 94720-1758

pabbeel AT cs.berkeley.edu (preferred way of being contacted)

Quick picks:

Want to learn about Business Strategies and Applications of AI? The Berkeley Executive Education course I co-teach with colleagues from the Haas Business School is available online (unlike everything else linked below, Berkeley requires paid registration for this one..)

Want to get up to speed on AI Foundations? Our most recent offering of Introduction to Artificial Intelligence (and more materials from past offerings here)

Want to learn Robotics Foundations? My most recent offering of Advanced Robotics

Want to take your Deep Learning skills from proof-of-concept implementations to what's needed for real-world deployment, monitoring, continuous improvement, etc? Check out Full Stack Deep Learning Bootcamp, co-organized with Josh Tobin, Sergey Karayev.

Want to get up to speed on Deep Unsupervised Learning (or Deep Selfsupervised Learning, which some people call it)? Together with Peter Chen, Jonathan Ho and Aravind Srinivas we created a new course on Deep Unsupervised Learning in Spring 2019. The Spring 2020 offering of the class (with Aravind Srinivas, Alex Li, Wilson Yan) is hosted here and includes lecture videos, slides (pdf and google slides), homework, and colabs providing simple implementations of many of the key ideas.

Want to get up to speed on Deep Reinforcement Learning? I co-organized the first Deep RL Bootcamp with Xi (Peter) Chen, Yan (Rocky) Duan and Andrej Karpathy at Berkeley in August 2017, we released all Deep RL Bootcamp lecture materials and labs

Want to learn even more Deep RL? The most recent offering of the Berkeley Deep RL Course is here (taught by my colleague Prof. Sergey Levine)

Want to learn about the latest and greatest Deep RL results anno Dec 2020? Please join us at the NeurIPS 2020 Deep RL Workshop, which I am co-organizing with Coline Devin, Chelsea Finn, Misha Laskin, Kimin Lee, Joelle Pineau, Janarthanan Rajendran, David Silver, Satinder Singh, Vivek Veeriah.

Some Videos

Discussing latest on Covariant and research at Berkeley on the TWIML Podcast with Sam Charrington:

Overview of Latest Trends in Artificial Intelligence for non-technical audience:

Fun recent conversation with my Phd Advisor Andrew Ng:

Towards AI Robotics for the Real World:

Fun conversation with Lex Fridman:

CMU Robotics Institute Seminar highlighting recent work (October 2019):

NeurIPS 2017 keynote highlighting some of my own recent work anno December 2017.