تقرير
Logic and the $2$-Simplicial Transformer
العنوان: | Logic and the $2$-Simplicial Transformer |
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المؤلفون: | Clift, James, Doryn, Dmitry, Murfet, Daniel, Wallbridge, James |
سنة النشر: | 2019 |
المجموعة: | Computer Science Statistics |
مصطلحات موضوعية: | Computer Science - Machine Learning, Computer Science - Logic in Computer Science, Statistics - Machine Learning |
الوصف: | 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. |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/1909.00668 |
رقم الأكسشن: | edsarx.1909.00668 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |