Online Bipartite Matching on MovieLens (test)
85.38Worst-Case Normalized RewardLOBM-0.8
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LOBM-0.8ML prediction usage=True, lambda=0.82024.11 | 85.38 | 93.72 | |
| MetaAdML prediction usage=False, theta=0.72024.11 | 85.24 | 93.44 | |
| PrimalDualML prediction usage=False2024.11 | 84.29 | 93.4 | |
| LOBM-0.5ML prediction usage=True, lambda=0.52024.11 | 83.24 | 93.71 | |
| LOBM-0.3ML prediction usage=True, lambda=0.32024.11 | 81.13 | 93.43 | |
| GreedyML prediction usage=False2024.11 | 79.41 | 93.29 | |
| MLML prediction usage=True2024.11 | 79.03 | 93.55 |