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

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