Research

Learning concepts with energy functions

Source: OpenAI News 07 Nov 2018

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AI audio in English, based on the NadiAI brief and original source.

Brief

We’ve developed an energy-based model that can quickly learn to identify and generate instances of concepts, such as near, above, between, closest, and furthest, expressed as sets of 2d points. Our model learns these concepts after only five demonstrations. We also show cross-domain transfer: we use concepts learned in a 2d particle environment to solve tasks on a 3-dimensional physics-based robot.

Why It Matters

Keupayaan belajar daripada beberapa demonstrasi dan pemindahan lintas domain memudahkan aplikasi robotik mempelajari konsep ruang tanpa kebergantungan kepada data besar.

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