U.S. Army researchers, in cooperation with university scientists, have developed new techniques to train robots or computer programs to perform tasks under the guidance of a human instructor. They want to use deep learning, a class of machine learning algorithms that are loosely inspired by the brain, to train a robot to learn how to perform tasks by viewing video streams in a short amount of time with a human trainer. The researchers from the U.S. Army Research Laboratory and the University of Texas at Austin developed a new algorithm called Deep TAMER, an extension of Training an Agent Manually via Evaluative Reinforcement (TAMER). Their findings, which were released Friday, will be presented to an academic conference of the Association for the Advancement of Artificial Intelligence in New Orleans, Louisiana on Feb. 2-7. In their earlier work, the researchers taught a robot to behave in a situation similar to the way a dog was trained to do a trick.
Feb-3-2018, 19:57:22 GMT