Hammad Mazhar, NVIDIA

Seminar | October 19 | 12:30-1:30 p.m. | Soda Hall, Wozniak Lounge


There are many ways to leverage simulation for machine learning problems. From articulated mechanisms, to cloth, fluids and soft bodies; through simulation we can experiment with problems otherwise intractable. Additionally, techniques like synthetic data generation and virtual sensors allow us to use domain randomization for improved transfer of learning. This talk will cover some of the recent work at NVIDIA that combines simulation, reinforcement learning and headless rendering through containers to scale up the number of agents we can throw at a task.

 sanjay@eecs.berkeley.edu, 408 221 0207