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Yann LeCun: Reinforcement Learning Requires An Enormous Amount Of Data To Perform Well

Yann LeCun: Reinforcement Learning Requires An Enormous Amount Of Data To Perform Well

Professor LeCun says:

“To learn the game Starcraft, Reinforcement Learning required 200 years to train… A lot of the situations where the objective is very clear and you don’t need to… We can use supervised learning.”

Professor Yann LeCun

Yann André LeCun is a French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics, and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University, and Vice President, Chief AI Scientist at Meta.

Yann LeCun: Reinforcement Learning Requires An Enormous Amount Of Data To Perform Well

Technology & Science