Research Article
Research on the Agricultural Machinery Path Tracking Method Based on Deep Reinforcement Learning
Table 2
I-DQN algorithm path tracking results.
| | Target end | Path length (m) | Moving time (s) |
| 1 | (−1.13, 0.67) | 1.41 | 7.73 | 2 | (0.84, 1.04) | 1.44 | 7.96 | 3 | (−0.27, 0.34) | 1.46 | 8.27 | 4 | (−1.17, −0.96) | 1.62 | 8.58 | 5 | (0.86, 1.36) | 1.69 | 9.10 | 6 | (0.05, 1.66) | 1.73 | 9.57 | 7 | (−0.91, 1.41) | 1.75 | 9.97 | 8 | (−1.18, 1.33) | 1.86 | 10.11 | 9 | (−1.29, 1.50) | 2.11 | 11.22 | 10 | (1.44, 1.98) | — | — |
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