The Berkeley professor who co-leads Amazon's frontier robotics lab put his entire advanced robotics course on YouTube: 23 lectures, about 30 hours, free.
"CS287: Advanced Robotics," Pieter Abbeel (@pabbeel), UC Berkeley.
MDPs, LQR, trajectory optimization and MPC, motion planning, Kalman and particle filters, POMDPs, then imitation learning, policy gradients, DQN and SAC, model-based RL and sim2real - 23 lectures, about 30 hours, free.
Lecture 22 is a guest lecture from Josh Tobin, who wrote the domain randomization paper as Abbeel's PhD student: train in a simulator where lighting, colors and physics change every episode, so the real world looks like just one more variation. 57 minutes in, it's the trick behind the robot hand that learned to turn a cube in its fingers.
Amazon's Frontier AI & Robotics lab is hiring a Member of Technical Staff in science right now, at $150K–$300K, and "experience with sim2real transfer" is on the list. lecture 22 is what that line means.
Lectures: https://t.co/mpaD6ljucu
Course: https://t.co/wcZIRM06xM
P.S. lecture 25 is his own PhD thesis: helicopters that learned aerobatics. my Optimus-style robot brain guide is in the article below if you want the 8-week path.
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