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Thursday, May 07, 2020

Considering the forms of Curiosity

Intriguing idea, is creativity just adding a goal to curiosity?

Automating the Search for New 'Curiosity' Algorithms
MIT News
Kim Martineau

Massachusetts Institute of Technology (MIT) researchers have used machine learning to identify new algorithms for encoding forms of curiosity. MIT's Ferran Alet said, "We were inspired to use [artificial intelligence] to find algorithms with curiosity strategies that can adapt to a range of environments." The researchers chose a set of basic modules to define their exploration algorithms, selecting about 36 high-level operations to guide the agent to perform tasks like remembering previous inputs, comparing current and past inputs, and using learning methods to change its own modules. The computer integrated up to seven operations at a time to generate computation graphs describing 52,000 algorithms. Two were entirely new, or apparently too obvious or counterintuitive to be of human design, and outperformed human-designed algorithms on a wide range of simulated tasks and environments.  .... " 

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