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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

CHAPTER

Is There a Difference Between Intrinsic Motivation and Reinforcement Learning?

Seth: I think every researcher thinks that a work of theirs has been most overlooked, but one thing maybe I could talk about a little bit is some work that do my postdocs in the Grand Hargilimber Seth did recently with me. There's this idea that perhaps intrinsic motivation can actually be driven by the opposite objective of minimizing surprise. Perhaps paradoxically minimize surprise might actually lead to some behavior that looks like curiosity or novelty seeking in service to getting yourself to be more comfortable later.

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