Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Multi-Agent Reinforcement Learning (Predator-Prey) on MPE PP_9/3
Loading...
802.5
Average Cumulative Reward
WALL
541.668
609.384
677.1
744.816
Feb 5, 2025
Average Cumulative Reward
Updated 13d ago
Evaluation Results
Method
Method
Links
Average Cumulative Reward
WALL
Attack Method=Natural
2025.02
802.5
WALL
Attack Method=Radom At...
2025.02
802.5
ROMANCE
Attack Method=Natural
2025.02
721.4
ROMANCE
Attack Method=Radom At...
2025.02
701.7
WALL
Attack Method=Wolfpack...
2025.02
698.1
WALL
Attack Method=EGA
2025.02
682.7
RANDOM
Attack Method=Natural
2025.02
666.9
Vanilla QMIX
Attack Method=Natural
2025.02
661.9
RANDOM
Attack Method=Radom At...
2025.02
657.9
Vanilla QMIX
Attack Method=Radom At...
2025.02
656.4
RANDOM
Attack Method=Wolfpack...
2025.02
624.3
ROMANCE
Attack Method=EGA
2025.02
594.4
RANDOM
Attack Method=EGA
2025.02
589.7
Vanilla QMIX
Attack Method=EGA
2025.02
585.1
ROMANCE
Attack Method=Wolfpack...
2025.02
570.3
Vanilla QMIX
Attack Method=Wolfpack...
2025.02
551.7
Feedback
Search any
task
Search any
task