We apply reinforcement learning (RL) to physical systems, in particular, robotic systems undergoing rigid body motion without contacts. One of the drawbacks of traditional RL algorithms has been their poor sample …
Robust Policy Search is the problem of learning policies that do not degrade in performance when subject to unseen environment model parameters. It is particularly relevant for transferring policies learned in a …
I’m Harsha Yelchuri, a robotics researcher. I graduated with a B.E. in Information Science from R.V. College of Engineering. After college, I jumped into research at the Indian Institute of Science. I worked on …
