Multi-Objective Reinforcement Learning on Xi’an transport planning environment
0.93Normalized HypervolumePCN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PCNNumber of Objectives=32024.11 | 0.93 | 0.97 | 0.78 | 0.18 | |
| PCNNumber of Objectives=22024.11 | 0.89 | 0.96 | 0.87 | 0.1 | |
| LCNNumber of Objectives=22024.11 | 0.86 | 0.95 | 0.93 | 0.06 | |
| PCNNumber of Objectives=42024.11 | 0.83 | 0.94 | 0.67 | 0.3 | |
| LCN-Redist.Number of Objectives=22024.11 | 0.79 | 0.92 | 0.97 | 0.01 | |
| LCN-MeanNumber of Objectives=22024.11 | 0.78 | 0.91 | 0.9 | 0.07 | |
| LCNNumber of Objectives=32024.11 | 0.71 | 0.89 | 0.91 | 0.09 | |
| LCNNumber of Objectives=52024.11 | 0.71 | 0.91 | 0.91 | 0.25 | |
| LCN-MeanNumber of Objectives=32024.11 | 0.7 | 0.89 | 0.92 | 0.1 | |
| LCN-Redist.Number of Objectives=32024.11 | 0.69 | 0.88 | 0.96 | 0.05 | |
| LCNNumber of Objectives=62024.11 | 0.67 | 0.8 | 0.87 | 0.23 | |
| LCN-Redist.Number of Objectives=62024.11 | 0.64 | 0.83 | 0.77 | 0.21 | |
| PCNNumber of Objectives=52024.11 | 0.63 | 0.86 | 0.71 | 0.3 | |
| LCNNumber of Objectives=82024.11 | 0.6 | 0.74 | 0.77 | 0.33 | |
| LCN-Redist.Number of Objectives=52024.11 | 0.6 | 0.89 | 0.77 | 0.23 | |
| PCNNumber of Objectives=62024.11 | 0.56 | 0.83 | 0.64 | 0.3 | |
| LCNNumber of Objectives=72024.11 | 0.55 | 0.5 | 0.79 | 0.25 | |
| LCNNumber of Objectives=42024.11 | 0.54 | 0.79 | 0.86 | 0.19 | |
| LCN-Redist.Number of Objectives=82024.11 | 0.53 | 0.63 | 0.59 | 0.33 | |
| LCN-MeanNumber of Objectives=42024.11 | 0.52 | 0.78 | 0.87 | 0.24 | |
| LCN-MeanNumber of Objectives=52024.11 | 0.51 | 0.84 | 0.9 | 0.25 | |
| LCN-MeanNumber of Objectives=62024.11 | 0.49 | 0.71 | 0.84 | 0.23 | |
| LCN-Redist.Number of Objectives=42024.11 | 0.48 | 0.73 | 0.82 | 0.18 | |
| LCNNumber of Objectives=102024.11 | 0.46 | 0.38 | 0.81 | 0.3 | |
| LCN-Redist.Number of Objectives=72024.11 | 0.39 | 0.52 | 0.62 | 0.27 | |
| LCN-MeanNumber of Objectives=72024.11 | 0.37 | 0.26 | 0.78 | 0.26 | |
| LCN-Redist.Number of Objectives=92024.11 | 0.31 | 0.86 | 0.54 | 0.4 | |
| LCNNumber of Objectives=92024.11 | 0.29 | 0.42 | 0.62 | 0.3 | |
| LCN-MeanNumber of Objectives=102024.11 | 0.28 | 0.22 | 0.8 | 0.32 | |
| LCN-Redist.Number of Objectives=102024.11 | 0.19 | 0.92 | 0.56 | 0.45 | |
| PCNNumber of Objectives=72024.11 | 0.17 | 0.57 | 0.51 | 0.34 | |
| LCN-MeanNumber of Objectives=92024.11 | 0.15 | 0.25 | 0.76 | 0.3 | |
| LCN-MeanNumber of Objectives=82024.11 | 0.12 | 0.39 | 0.71 | 0.39 | |
| GPI-LSNumber of Objectives=22024.11 | 0.11 | 0.27 | 0.21 | 0.3 | |
| GPI-LSNumber of Objectives=32024.11 | 0.08 | 0.24 | 0.26 | 0.3 | |
| PCNNumber of Objectives=82024.11 | 0.07 | 0.55 | 0.46 | 0.44 | |
| GPI-LSNumber of Objectives=42024.11 | 0.05 | 0.33 | 0.23 | 0.46 | |
| GPI-LSNumber of Objectives=52024.11 | 0.03 | 0.42 | 0.25 | 0.5 | |
| GPI-LSNumber of Objectives=62024.11 | 0.02 | 0.38 | 0.2 | 0.49 | |
| PCNNumber of Objectives=92024.11 | 0.02 | 0.39 | 0.45 | 0.43 | |
| PCNNumber of Objectives=102024.11 | 0 | 0.27 | 0.43 | 0.46 |