Multi-agent Reinforcement Learning on TrafficJunction Small (TJ-S)
-1.69RewardVL
Evaluation results
| Method | Links | |
|---|---|---|
| VLAttack rate=0.252026.05 | -1.69 | |
| STAttack rate=0.252026.05 | -1.69 | |
| J-WAttack rate=0.252026.05 | -1.72 | |
| NSAttack rate=0.752026.05 | -1.74 | |
| J-MAttack rate=0.252026.05 | -1.78 | |
| MMRAttack rate=0.752026.05 | -1.78 | |
| J-MAttack rate=0.52026.05 | -1.85 | |
| J-WAttack rate=0.52026.05 | -1.85 | |
| STAttack rate=0.52026.05 | -1.86 | |
| CBTSAttack rate=0.252026.05 | -1.87 | |
| CBTSAttack rate=0.52026.05 | -1.87 | |
| NSAttack rate=0.252026.05 | -1.87 | |
| NSAttack rate=0.52026.05 | -1.88 | |
| VLAttack rate=0.52026.05 | -1.88 | |
| MLAttack rate=0.752026.05 | -1.89 | |
| CBTSAttack rate=0.752026.05 | -1.97 | |
| MMRAttack rate=0.52026.05 | -2.04 | |
| J-MAttack rate=0.752026.05 | -2.08 | |
| J-WAttack rate=0.752026.05 | -2.08 | |
| STAttack rate=0.752026.05 | -2.08 | |
| VLAttack rate=0.752026.05 | -2.1 | |
| MLAttack rate=0.252026.05 | -2.16 | |
| MLAttack rate=0.52026.05 | -2.2 | |
| MMRAttack rate=0.252026.05 | -2.25 |