mr. tech A computer algorithm equipped with a form of artificial curiosity can learn to solve tricky problems even when it isn't immediately clear what actions might help it reach this goal. 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.Curiosity could help artificially intelligent machines advance
mr. tech A computer algorithm equipped with a form of artificial curiosity can learn to solve tricky problems even when it isn't immediately clear what actions might help it reach this goal. 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.
Machine Learning, Artificial Intelligence, and Deep Learning News around the world. We publish the latest developments and advances in these fields.
Thursday, November 30, 2017
Curiosity could help artificially intelligent machines advance
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment