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Benchmarks
Multi-objective Reinforcement Learning on MO-Gymnasium 8 discrete-action tasks
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4.25
Hypervolume (HV)
LS
1.65
2.325
3
3.675
May 9, 2026
Hypervolume (HV)
Expected Utility Maximization (EUM)
Sparsity (SP)
Updated 22d ago
Evaluation Results
Method
Method
Links
Hypervolume (HV)
Expected Utility Maximization (EUM)
Sparsity (SP)
LS
Training Steps=2M, See...
2026.05
4.25
3.88
4.75
CAPQL
Training Steps=2M, See...
2026.05
4.12
3.5
3.25
C-MORL
Training Steps=2M, See...
2026.05
4.12
3.62
2.38
PreCo
Training Steps=2M, See...
2026.05
3.75
3.38
4.75
PCSAC
Training Steps=2M, See...
2026.05
3
3.5
2.62
CMDPI
Training Steps=2M, See...
2026.05
1.75
3.12
3.25
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