Episode 28: Sergey Levine, UC Berkeley, on the bottlenecks to generalization in reinforcement learning, why simulation is doomed to succeed, and how to pick good research problems
Generally Intelligent
Large Scale Regression Learning (RL) in Atari Games
In RL, you need to do this kind of factual reasoning pretty implicitly. And so you need to represent these sub-optimal behaviors. But in a language model, you don't need to,. they're often quite bad at a counterfactual reasoning. So there's something interesting here.
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