Multi-agent Reinforcement Learning on Navigation
1.38RewardVL
Evaluation Results
| Method | Links | |
|---|---|---|
| VLAttack rate=0.252026.05 | 1.38 | |
| STAttack rate=0.252026.05 | 1.36 | |
| J-MAttack rate=0.252026.05 | 1.2 | |
| J-WAttack rate=0.252026.05 | 1.16 | |
| CBTSAttack rate=0.252026.05 | 1.09 | |
| MLAttack rate=0.752026.05 | 0.97 | |
| MMRAttack rate=0.252026.05 | 0.74 | |
| NSAttack rate=0.52026.05 | 0.63 | |
| MLAttack rate=0.52026.05 | 0.61 | |
| VLAttack rate=0.52026.05 | 0.53 | |
| MMRAttack rate=0.752026.05 | 0.52 | |
| STAttack rate=0.52026.05 | 0.51 | |
| NSAttack rate=0.752026.05 | 0.5 | |
| NSAttack rate=0.252026.05 | 0.49 | |
| CBTSAttack rate=0.52026.05 | 0.46 | |
| MLAttack rate=0.252026.05 | 0.43 | |
| J-WAttack rate=0.52026.05 | 0.37 | |
| MMRAttack rate=0.52026.05 | 0.37 | |
| J-MAttack rate=0.52026.05 | 0.23 | |
| J-WAttack rate=0.752026.05 | 0.14 | |
| J-MAttack rate=0.752026.05 | 0.11 | |
| CBTSAttack rate=0.752026.05 | 0.08 | |
| VLAttack rate=0.752026.05 | 0.03 | |
| STAttack rate=0.752026.05 | -0.01 |