Multi-agent Reinforcement Learning on Predator-Prey Orthogonal (PP-O)
41.4Cumulative RewardML
Evaluation Results
| Method | Links | |
|---|---|---|
| MLAttack rate=0.252026.05 | 41.4 | |
| MLAttack rate=0.52026.05 | 40.6 | |
| STAttack rate=0.252026.05 | 40.5 | |
| NSAttack rate=0.252026.05 | 40 | |
| NSAttack rate=0.752026.05 | 40 | |
| VLAttack rate=0.52026.05 | 39.9 | |
| VLAttack rate=0.252026.05 | 39.8 | |
| J-WAttack rate=0.752026.05 | 39.7 | |
| J-MAttack rate=0.752026.05 | 39.5 | |
| J-MAttack rate=0.252026.05 | 39.4 | |
| STAttack rate=0.52026.05 | 39.4 | |
| MMRAttack rate=0.252026.05 | 39.3 | |
| MMRAttack rate=0.52026.05 | 39.3 | |
| STAttack rate=0.752026.05 | 39.2 | |
| CBTSAttack rate=0.52026.05 | 39 | |
| NSAttack rate=0.52026.05 | 38.9 | |
| J-MAttack rate=0.52026.05 | 38.7 | |
| J-WAttack rate=0.52026.05 | 38.7 | |
| CBTSAttack rate=0.252026.05 | 38.7 | |
| J-WAttack rate=0.252026.05 | 38.6 | |
| VLAttack rate=0.752026.05 | 38.5 | |
| CBTSAttack rate=0.752026.05 | 38.2 | |
| MMRAttack rate=0.752026.05 | 37.9 | |
| MLAttack rate=0.752026.05 | 36.6 |