
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
Computer Graphics Research
In 2009, we already had pretty good technology for simulating physics. And really the big challenge was getting plausible behavior out of virtual humans. Once I realized how big that problem really was, it became natural to think of it more as just developing artificial intelligence systems.
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