Kijung Kong

Post-Placement Optimization with Pin-Level Graph Isomorphism Network and Recurrent Q-Learning

A deep recurrent Q-network (DRQN)-based framework for post-placement circuit optimization that jointly leverages all three operations to enable integrated optimization of timing and power and design a reward function that applies symmetric logarithmic compression to each metric at a fixed scale, allowing controllable t...