Social learning - where one individual acquires skills and knowledge from another by copying - is vital to the process of development in humans and much of the animal kingdom. The Deepmind team claim to be the first to demonstrate the process in artificial intelligence.
Looking to human learning for inspiration, the researchers sought to show how AI agents could learn from other individuals with human-like efficiency. In a physical simulated task space called GoalCycle3D - a sort of computer-animated playground with footpaths and obstacles - they found AI agents could learn from both human and AI experts across a number of navigational problems, even though they had never seen a human or, we assume, had any idea what one was.
"Our agents succeed at real-time imitation of a human in novel contexts without using any pre-collected human data. We identify a surprisingly simple set of ingredients sufficient for generating cultural transmission and develop an evaluation methodology for rigorously assessing it. This paves the way for cultural evolution to play an algorithmic role in the development of artificial general intelligence," the study said.
#AI skills #social learning #Google DeepMind #reinforcement learning #artificial general intelligence
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