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Benchmarks
Multi-Agent Reinforcement Learning (Predator-Prey) on MPE PP_6/2
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685.5
Average Cumulative Reward
WALL
404.804
477.677
550.55
623.423
Feb 5, 2025
Average Cumulative Reward
Updated 13d ago
Evaluation Results
Method
Method
Links
Average Cumulative Reward
WALL
Attack Method=EGA
2025.02
685.5
WALL
Attack Method=Natural
2025.02
675
RANDOM
Attack Method=Natural
2025.02
663.8
WALL
Attack Method=Radom At...
2025.02
654
ROMANCE
Attack Method=Natural
2025.02
648.6
RANDOM
Attack Method=Radom At...
2025.02
638.7
ROMANCE
Attack Method=Radom At...
2025.02
624.2
ROMANCE
Attack Method=EGA
2025.02
605.1
RANDOM
Attack Method=EGA
2025.02
604.6
WALL
Attack Method=Wolfpack...
2025.02
599
RANDOM
Attack Method=Wolfpack...
2025.02
571
ROMANCE
Attack Method=Wolfpack...
2025.02
554.6
Vanilla QMIX
Attack Method=Natural
2025.02
538.8
Vanilla QMIX
Attack Method=Radom At...
2025.02
522.6
Vanilla QMIX
Attack Method=EGA
2025.02
499.8
Vanilla QMIX
Attack Method=Wolfpack...
2025.02
415.6
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