Using Convolutional Network Techniques to Control Robot Motion

John Schulman: I started working on how we could kind of more or less throw that out and replace it with end-to-end learning from deep nets. He says his work resulted in a paper that was basically the first deep reinforcement learning paper for image-based real world robotic manipulation. "I intentionally want to make it like a little bit extreme," he adds.