Curiosity may be Vital for Truly Smart AI
May 23, 2017 By Will Knight
ABSTRACT:
Researchers at the University of California, Berkeley, developed an “intrinsic curiosity model” to make their learning algorithm work even when there isn’t a strong feedback signal. The trick may help address a shortcoming of today’s most powerful machine-learning techniques, and it could point to ways of making machines better at solving real-world problems.
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