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Benchmarks
Multi-objective Reinforcement Learning on MO-Gymnasium Fishwood
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2.21
Sparsity
ANSGAII
1.3988
1.6094
1.82
2.0306
Dec 22, 2025
Sparsity
Updated 4d ago
Evaluation Results
Method
Method
Links
Sparsity
ANSGAII
Env. Type=Discrete
2025.12
2.21
EmoDM
Env. Type=Discrete
2025.12
2.18
PCN
Env. Type=Discrete
2025.12
1.66
Deep Qlearning
Env. Type=Discrete
2025.12
1.58
NSGAIIIEHVI
Env. Type=Discrete
2025.12
1.54
DMBP
Env. Type=Discrete
2025.12
1.52
MTDiff
Env. Type=Discrete
2025.12
1.48
LacaDM
Env. Type=Discrete
2025.12
1.43
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