Multi-agent Reinforcement Learning on Predator-Prey Diagonal (PP-D)
36.5RewardMMR
Evaluation Results
| Method | Links | |
|---|---|---|
| MMRAttack rate=0.752026.05 | 36.5 | |
| NSAttack rate=0.752026.05 | 36.2 | |
| STAttack rate=0.752026.05 | 36.1 | |
| VLAttack rate=0.752026.05 | 36 | |
| VLAttack rate=0.52026.05 | 35.8 | |
| STAttack rate=0.52026.05 | 35.8 | |
| MLAttack rate=0.252026.05 | 35.7 | |
| J-WAttack rate=0.252026.05 | 35.6 | |
| CBTSAttack rate=0.252026.05 | 35.5 | |
| CBTSAttack rate=0.52026.05 | 35.5 | |
| STAttack rate=0.252026.05 | 35.5 | |
| MMRAttack rate=0.252026.05 | 35.4 | |
| NSAttack rate=0.252026.05 | 35.4 | |
| NSAttack rate=0.52026.05 | 35.4 | |
| J-MAttack rate=0.252026.05 | 35.2 | |
| CBTSAttack rate=0.752026.05 | 35.2 | |
| MMRAttack rate=0.52026.05 | 35.2 | |
| MLAttack rate=0.52026.05 | 35.2 | |
| MLAttack rate=0.752026.05 | 34.9 | |
| J-WAttack rate=0.52026.05 | 34.6 | |
| VLAttack rate=0.252026.05 | 34.6 | |
| J-MAttack rate=0.52026.05 | 33.2 | |
| J-WAttack rate=0.752026.05 | 32.9 | |
| J-MAttack rate=0.752026.05 | 29.7 |