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Researchers have significantly boosted reinforcement learning agent performance by increasing neural network layers from the typical two to five up to 1,024 layers, resulting in new, advanced behaviors.
Yann LeCun, alongside Randall Balestriero at Meta, has introduced LeJEPA, a novel self-supervised learning approach aimed at simplifying AI training processes. This project is expected to be LeCun’s last contribution at Meta before he embarks on launching his own startup.