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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

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The Challenges of N10 Neural Nets in Robotics

The algorithm itself was based on things that I had developed for previous projects just without the computer vision component. From low dimensional inputs to actions was something that had already been developed and basically worked. It does actually help to break it up into components, even if you're doing intenting in the end because you can kind of get the individual neural net components all working nicely and then just redo it with the intent thing.

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