Research Article

An Enhanced Deep Reinforcement Learning-Based Global Router for VLSI Design

Table 2

Comparison of wire length and congestion standard deviation of two reward functions.

No.Wire length (WL)Congestion standard deviation (Std)Optimization rate (%)
Function 1Function 2Function 1Function 2WLStd

11651650.950.850.0010.53
21681650.940.941.790.00
32572481.301.123.507.44
42492451.231.160.405.69
52772741.311.231.082.38
62932901.321.231.026.82
74674660.830.810.214.71
85215040.950.893.266.32
99379341.361.290.327.19
108017941.161.090.876.03
Average1.255.71