A survey of Reinforcement Learning for Electronic Design Automation
Résumé
With the technological evolution of fabrication processes, the complexity of integrated circuit design has increased accordingly. Engineers are considering integrating machine learning techniques into the Electronic Design Automation (EDA) domain to assist in enhancing product performance and minimizing power consumption in the face of Moore's Law limitations. Reinforcement Learning (RL), as a branch of machine learning, has garnered attention in recent years. This paper provides a brief overview of RL in conjunction with EDA technology, outlining in detail the application scenarios of RL within EDA