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Multi-objective Reinforcement Learning research benchmarks – Page 3 · SOTA2 Research

Multi-objective Reinforcement Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MuJoCo Humanoid

51.23Hypervolume (HV)

5

Mar 23, 2026

MuJoCo Walker2d

5.743Hypervolume (HV)

5

Mar 23, 2026

resource-gathering v0

100Normalised Hypervolume (HV)

4

Jun 23, 2026

deep-sea-treasure v0

0.542Normalised Hypervolume (HV)

4

Jun 23, 2026

5.02Hypervolume (HV)

4

Jun 1, 2026

MuJoCo Hopper-3

3.889Hypervolume (HV)

4

Mar 23, 2026

7.39Hypervolume (HV)

4

Feb 26, 2026

2,500,000Environment Steps

3

Jun 1, 2026

0.428Hypervolume (HV)

3

May 12, 2026

1.168Hypervolume (HV)

3

May 12, 2026

1.33Hypervolume (HV)

3

May 12, 2026

Messiah SC Complex

0.299Hypervolume

3

Mar 9, 2026

Messiah SC (Moderate)

0.731Hypervolume

3

Mar 9, 2026

Messiah SC (Simple)

0.46Hypervolume

3

Mar 9, 2026

MO-Hopper Hopper-2obj v5

4,310,000Hypervolume

3

Mar 4, 2026

14,600,000Hypervolume

3

Mar 4, 2026

12,100Hypervolume (HV)

3

Feb 26, 2026

15,800,000Hypervolume (x10^7)

3

Feb 26, 2026

3.57Hypervolume (HV)

3

Feb 26, 2026

resource-gathering MO-Gymnasium v0

0.7Hypervolume

2

Mar 9, 2026

mo-halfcheetah MO-Gymnasium v4

0.7Hypervolume

2

Mar 9, 2026

mo-hopper MO-Gymnasium v4

11.08Hypervolume

2

Mar 9, 2026

Discounted-reward MDP

Policy Gradient

2Sample Complexity Bound

1

Jun 25, 2026

Page 3 of 3

Popular datasets

MO-Gymnasium MuJoCo mo-hopper Resource Gathering mo-halfcheetah

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