Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper)

Reinforcement learning (RL) algorithms have recently seen rapid advancement and adoption in the field of electronic design automation (EDA) in both academia and industry. In this paper, we first give an overview of RL and its applications in EDA. In particular, we discuss three case studies: chip macro placement, analog transistor sizing, and logic synthesis. In collaboration with Google Brain, we...