Multi-Objective Reinforcement Learning on Amsterdam transport planning environment
0.97Normalized HypervolumePCN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PCNNumber of Objectives=22024.11 | 0.97 | 0.99 | 0.82 | 0.13 | |
| LCN-MeanNumber of Objectives=22024.11 | 0.81 | 0.94 | 0.99 | 0.01 | |
| PCNNumber of Objectives=32024.11 | 0.8 | 0.95 | 0.69 | 0.48 | |
| LCNNumber of Objectives=22024.11 | 0.8 | 0.93 | 0.93 | 0.03 | |
| LCN-Redist.Number of Objectives=22024.11 | 0.79 | 0.92 | 0.86 | 0.06 | |
| LCNNumber of Objectives=32024.11 | 0.67 | 0.7 | 0.88 | 0.37 | |
| LCN-Redist.Number of Objectives=32024.11 | 0.53 | 0.55 | 0.71 | 0.45 | |
| LCNNumber of Objectives=42024.11 | 0.41 | 0.21 | 0.45 | 0.43 | |
| LCN-MeanNumber of Objectives=32024.11 | 0.27 | 0.15 | 0.85 | 0.4 | |
| GPI-LSNumber of Objectives=32024.11 | 0.22 | 0.85 | 0.54 | 0.64 | |
| PCNNumber of Objectives=42024.11 | 0.17 | 0.75 | 0.42 | 0.58 | |
| GPI-LSNumber of Objectives=22024.11 | 0.12 | 0.3 | 0.16 | 0.54 | |
| GPI-LSNumber of Objectives=42024.11 | 0.06 | 0.92 | 0.47 | 0.62 | |
| GPI-LSNumber of Objectives=52024.11 | 0 | 0.67 | 0.32 | 0.7 | |
| PCNNumber of Objectives=52024.11 | 0 | 0.8 | 0.43 | 0.67 | |
| PCNNumber of Objectives=62024.11 | 0 | 0.76 | 0.49 | 0.63 | |
| PCNNumber of Objectives=72024.11 | 0 | 0.62 | 0.42 | 0.66 | |
| PCNNumber of Objectives=82024.11 | 0 | 0.59 | 0.34 | 0.71 | |
| PCNNumber of Objectives=92024.11 | 0 | 0.36 | 0.37 | 0.72 | |
| PCNNumber of Objectives=102024.11 | 0 | 0.32 | 0.22 | 0.74 | |
| LCNNumber of Objectives=52024.11 | 0 | 0.55 | 0.61 | 0.52 | |
| LCNNumber of Objectives=62024.11 | 0 | 0.58 | 0.66 | 0.47 | |
| LCNNumber of Objectives=72024.11 | 0 | 0.47 | 0.73 | 0.5 | |
| LCNNumber of Objectives=82024.11 | 0 | 0.79 | 0.45 | 0.6 | |
| LCNNumber of Objectives=92024.11 | 0 | 0.44 | 0.89 | 0.67 | |
| LCNNumber of Objectives=102024.11 | 0 | 0.5 | 0.62 | 0.57 | |
| LCN-Redist.Number of Objectives=42024.11 | 0 | 0.46 | 0.36 | 0.61 | |
| LCN-Redist.Number of Objectives=52024.11 | 0 | 0.79 | 0.4 | 0.64 | |
| LCN-Redist.Number of Objectives=62024.11 | 0 | 0.86 | 0.43 | 0.62 | |
| LCN-Redist.Number of Objectives=72024.11 | 0 | 0.89 | 0.41 | 0.64 | |
| LCN-Redist.Number of Objectives=82024.11 | 0 | 0.9 | 0.34 | 0.69 | |
| LCN-Redist.Number of Objectives=92024.11 | 0 | 0.88 | 0.42 | 0.69 | |
| LCN-Redist.Number of Objectives=102024.11 | 0 | 0.92 | 0.38 | 0.71 | |
| LCN-MeanNumber of Objectives=42024.11 | 0 | 0.21 | 0.9 | 0.4 | |
| LCN-MeanNumber of Objectives=52024.11 | 0 | 0.17 | 0.54 | 0.56 | |
| LCN-MeanNumber of Objectives=62024.11 | 0 | 0.12 | 0.47 | 0.54 | |
| LCN-MeanNumber of Objectives=72024.11 | 0 | 0.11 | 0.83 | 0.5 | |
| LCN-MeanNumber of Objectives=82024.11 | 0 | 0.12 | 0.39 | 0.6 | |
| LCN-MeanNumber of Objectives=92024.11 | 0 | 0.22 | 0.9 | 0.65 | |
| LCN-MeanNumber of Objectives=102024.11 | 0 | 0.36 | 0.82 | 0.58 |