Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

Dr. Minqi Jiang and Dr. Marc Rigter explain an innovative new method to make the intelligence of agents more general-purpose by training them to learn many worlds before their usual goal-directed training, which we call "reinforcement learning". Their new paper is called "Reward-free curricula for training robust world models" https://arxiv.org/pdf/2306.09205.pdf https://twitter.com/MinqiJiang https://twitter.com/MarcRigter Interviewer: Dr. Tim Scarfe Please support us on Patreon, Tim is now doing MLST full-time and taking a massive financial hit. If you love MLST and want this to continue, please show your support! In return you get access to shows very early and private discord and networking. https://patreon.com/mlst We are also looking for show sponsors, please get in touch if interested mlstreettalk at gmail. MLST Discord: https://discord.gg/machine-learning-street-talk-mlst-937356144060530778

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Episoder(260)

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20 Aug 1h 18min

AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart

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10 Aug 1h 18min

How Researchers Test AI for Hidden Goals — Apollo Research

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13 Jul 55min

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1 Jul 1h 24min

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28 Jun 1h 2min

He won a Nobel here for AlphaFold. Then he left. - John Jumper

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This episode is sponsored by Notion. Learn more about Notion's Developer Platform today at https://notion.com/mlstProtein folding stalled biology for fifty years. A sequence of amino acids dictates a ...

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