Deep Reinforcement Learning for System-on-Chip: Myths and Realities

Tegg Taekyong Sung, Bo Ryu

Neural schedulers based on deep reinforcement learning (DRL) have shown considerable potential for solving real-world resource allocation problems, as they have demonstrated signif…