Research Article

Research on the Agricultural Machinery Path Tracking Method Based on Deep Reinforcement Learning

Table 2

I-DQN algorithm path tracking results.

Target endPath length (m)Moving time (s)

1(−1.13, 0.67)1.417.73
2(0.84, 1.04)1.447.96
3(−0.27, 0.34)1.468.27
4(−1.17, −0.96)1.628.58
5(0.86, 1.36)1.699.10
6(0.05, 1.66)1.739.57
7(−0.91, 1.41)1.759.97
8(−1.18, 1.33)1.8610.11
9(−1.29, 1.50)2.1111.22
10(1.44, 1.98)