An AI technique known as deep reinforcement learning has pushed back the limits of what can be achieved with autonomous systems and AI, achieving superhuman performance in a variety of different games such as chess and Go, video games and navigating virtual mazes.
Read MoreNow a team from Carnegie Mellon University has devised a way to aid reinforcement learning algorithms learn much faster by combining them with a language model that can read instruction manuals, according to a report published on Friday by Singularity Hub.
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