Reinforcement Learning for Adaptive Illumination with X-rays
Jean-Raymond Betterton,Daniel Ratner,Samuel Webb,Mykel Kochenderfer,Jean-Raymond Betterton,Daniel Ratner,Samuel Webb,Mykel Kochenderfer
We propose a learning algorithm for automating image sampling in scientific applications. We consider settings where images are sampled by controlling a probe beam's scanning trajectory over the image surface. We explore alternatives to obtaining images by the standard rastering method. We formulate the scanner control problem as a reinforcement learning (RL) problem and train a policy to adaptive...
