Professor, UC Berkeley, EECS, BAIR, CHCAI (2008- )
Director of the UC Berkeley Robot Learning Lab
Co-Founder, President, and Chief Scientist covariant.ai (2017- )
Research Scientist (2016-2017), Advisor (2018- ) OpenAI
Co-Founder Gradescope (2014- )
Some companies I am actively advising: Dishcraft Robotics, Off World, Preferred Networks, TensorFlight, Traptic, onai, inzone.ai
I enjoyed acting in this Verizon commercial (aired nationally over 400 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.)
746 Sutardja Dai Hall #1758 (Google maps)
Berkeley, CA 94720-1758
pabbeel AT cs.berkeley.edu (preferred way of being contacted)
Want to get up to speed on Deep Reinforcement Learnig? 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
I am co-organizing the NIPS 2017 Deep RL Symposium with Rocky Duan, Rein Houthooft, Junhyuk Oh, David Silver, Satinder Singh
I gave a tutorial on Deep RL at the CIFAR Deep Learning and Reinforcement Learning Summer School (slides, video)
I co-organized the RSS 2017 Workshop on New Frontiers for Deep Learning in Robotics with Peter Corke, Juergen Leitner, Niko Suenderhauf
John Schulman and I gave a tutorial at NIPS 2016 on Deep RL through Policy Optimization (slides, video)
The most recent offering of my Advanced Robotics course is here.
The first offering of Deep Reinforcement Learning is here.
We are offering our Artificial Intelligence course as a MOOC on edX, here.
You can self-study our Artificial Intelligence course here.
All instructional materials for our Artificial Intelligence course are available at ai.berkeley.edu.
NIPS 2017 keynote highlighting recent work anno December 2017.