Particularly, reinforcement learning for robotics, that anyone can do with a single GPU at home. It's going to be CUDA only (thanks jensen..). I am using 3x 4090s, but each training baseline will run on a single 4090.
0 python will be used
My suspicion is that the contact dynamics, code, is not at all optimized for ultra fast RL. The only reason it is as slow as it is is because no one really tried, and I'm going to try
This is all going to be open source. It's a project. My goal is to accelerate robotics
