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SOTA Multi-objective Reinforcement Learning benchmarks and papers with code | Wizwand
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Multi-objective Reinforcement Learning
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
MO-Gymnasium MOWalker2D
ANSGAII
Sparsity
294
8
4d ago
MO-Gymnasium MOHumanoid
ANSGAII
Sparsity
62.5
8
4d ago
MO-Gymnasium MOSwimmer
ANSGAII
Sparsity
15.4
8
4d ago
MO-Gymnasium MOAnt
ANSGAII
Sparsity
354
8
4d ago
MO-Gymnasium MOHalfcheetah
ANSGAII
Sparsity
12.6
8
4d ago
MO-Gymnasium HopperEnv
EmoDM
Sparsity
3.24
8
4d ago
MO-Gymnasium Water Reservoir
ANSGAII
Sparsity
3.45
8
4d ago
MO-Gymnasium MountainCar
ANSGAII
Sparsity
90.4
8
4d ago
MO-Gymnasium MOLunarLander
EmoDM
Sparsity
14.8
8
4d ago
MO-Gymnasium Fishwood
ANSGAII
Sparsity
2.21
8
4d ago
MO-Gymnasium BreakableBottles
ANSGAII
Sparsity
40.2
8
4d ago
MO-Gymnasium FruitTree
EmoDM
Sparsity
326
8
4d ago
MO-Gymnasium FourRoom
ANSGAII
Sparsity
521
8
4d ago
MO-Gymnasium ResourceGathering
Deep Qlearning
Sparsity
809
8
4d ago
MO-Gymnasium HighwayEnv
EmoDM
Sparsity
22
8
4d ago
MO-Gymnasium Deep Sea Treasure
ANSGAII
Sparsity
20.1
8
4d ago
Lunar Lander 4d
D3PO
Hypervolume (HV)
1.23
4
4d ago
Minecart
D3PO
Hypervolume (HV)
7.39
4
4d ago
mo-swimmer v5
Oracle
Hypervolume (HV)
12,100
3
4d ago
mo-halfcheetah v5
PRISM
HV (x10^4)
22,500
3
4d ago
mo-walker2d v5
PRISM
Hypervolume (HV)
47,700
3
4d ago
mo-hopper v5
PRISM
Hypervolume (x10^7)
15,800,000
3
4d ago
Fruit Tree
GPI-LS
Hypervolume (HV)
3.57
3
4d ago
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