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G Flow Nets Are Better Than Alpa Zero and Monte Carlo Tree Search
Yoshua bengio is one of the leading experts in artificial intelligence, indeed a godfather of deep learning. His pioneering work in deep learning earned him the touring award, which is the nobel prize of computing. Joshuah's done a lot of work recently on g flow nets, are an active learning framework in a reinforcement learning configuration. Now finally, ben jo has published results showing that g floe nets converge expedientially faster than marko chain monte carlo p po on some problems. Enjoy the show, folks.