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Once is enough - Helping robots learn quickly in new environments

A new algorithm developed by USC computer science researchers shows that robots can, in computer simulations, learn tasks after a single demonstration

A user-friendly approach for active reward learning in robots

In recent years, researchers have been trying to develop methods that enable robots to learn new skills. One option is for a robot to learn these new skills from humans, asking questions whenever it is unsure about how to behave, and learning from the human user's responses.

Stanford researchers teach robots what humans want

Researchers are developing better, faster ways of providing human guidance to autonomous robots.