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arXiv · 1909.00668

Logic and the $2$-Simplicial Transformer

James Clift·Dmitry Doryn·Daniel Murfet·James Wallbridge
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Abstract

We introduce the $2$-simplicial Transformer, an extension of the Transformer which includes a form of higher-dimensional attention generalising the dot-product attention, and uses this attention to update entity representations with tensor products of value vectors. We show that this architecture is a useful inductive bias for logical reasoning in the context of deep reinforcement learning.

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James Clift, Dmitry Doryn, Daniel Murfet, James Wallbridge. 2019-09-02. Logic and the $2$-Simplicial Transformer. https://arxiv.org/abs/1909.00668

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