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Show notes:
Raia and I discuss her work at DeepMind figuring out how to build robots using deep reinforcement learning to do things like navigate cities and generalize intelligent behaviors across different tasks. We also talk about challenges specific for embodied AI (robots), how much of it takes inspiration from neuroscience, and lots more.
Show notes: Visit Rafal’s Lab Website. Rafal’s papers we discuss: Theories of Error Back-Propagation in the Brain. An Approximation of the Error Backpropagation Algorithm...
Mentioned in the show: The paper we discuss: How biological attention mechanisms improve task performance in a large-scale visual system model. Follow Grace on...
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