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Multi-Objective Reinforcement Learning on mo-walker2d v5
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6,520,000
Hypervolume (HV)
MORL/D
-226,064
1,525,318
3,276,700
5,028,082
Feb 20, 2026
Feb 21, 2026
Feb 23, 2026
Feb 25, 2026
Feb 27, 2026
Mar 1, 2026
Mar 3, 2026
Hypervolume (HV)
Epsilon-Maximization (EUM)
Vector Dominance (VO)
Sparsity
Updated 1mo ago
Evaluation Results
Method
Method
Links
Hypervolume (HV)
Epsilon-Maximization (EUM)
Vector Dominance (VO)
Sparsity
MORL/D
2026.03
6,520,000
-
-
96.9
MOPDERL
2026.03
3,470,000
-
-
103.2
MAPEX
2026.03
3,090,000
-
-
157.5
PRISM
Reward Sparsity=Extrem...
2026.02
47,700
120.43
59.35
-
Oracle
Reward Sparsity=None (...
2026.02
42,100
107.58
53.22
-
Baseline
Reward Sparsity=Extrem...
2026.02
33,400
82.13
39.18
-
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