Chip Placement with Deep Reinforcement Learning

Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan +19

In this work, we present a learning-based approach to chip placement, one of the most complex and time-consuming stages of the chip design process. Unlike prior methods, our approa…