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Benchmarks
Multi-Agent Reinforcement Learning on MPE PP_3/1
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202.9
Average Cumulative Reward
WALL
133.012
151.156
169.3
187.444
Feb 5, 2025
Average Cumulative Reward
Updated 13d ago
Evaluation Results
Method
Method
Links
Average Cumulative Reward
WALL
Attack Method=Natural
2025.02
202.9
WALL
Attack Method=Radom At...
2025.02
202.9
RANDOM
Attack Method=Natural
2025.02
178.3
ROMANCE
Attack Method=Natural
2025.02
175
ROMANCE
Attack Method=Radom At...
2025.02
173.4
WALL
Attack Method=Wolfpack...
2025.02
171.5
RANDOM
Attack Method=Radom At...
2025.02
170.1
ROMANCE
Attack Method=EGA
2025.02
167.1
WALL
Attack Method=EGA
2025.02
166.5
Vanilla QMIX
Attack Method=Natural
2025.02
165.4
ROMANCE
Attack Method=Wolfpack...
2025.02
159.3
Vanilla QMIX
Attack Method=Radom At...
2025.02
158.9
RANDOM
Attack Method=EGA
2025.02
157.6
RANDOM
Attack Method=Wolfpack...
2025.02
157.5
Vanilla QMIX
Attack Method=EGA
2025.02
153.7
Vanilla QMIX
Attack Method=Wolfpack...
2025.02
135.7
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