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Reinforcement Learning research benchmarks – Page 25 · SOTA2 Research

Reinforcement Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MuJoCo Hopper epsilon=0.075 (test)

3,684Natural Return

5

Feb 26, 2026

Loop environment 2 Loops

395Average Return

5

Feb 26, 2026

Hopper v5 (strong-drift)

20.24Final Return

5

Feb 26, 2026

Stochastic GridWorld (20% slip probability) (test)

85Success Rate

5

Feb 26, 2026

DeepMind Control Suite 500K budget

452.1Acrobot Swingup Score

5

Feb 26, 2026

7,127.7Alien Score

5

Feb 26, 2026

HalfCheetah stationary reward corruption (p=0.5) v4

Full Meta-Cognitive

61.59Final Return

5

Feb 26, 2026

18 Confounded Environments Aggregate

1.93Normalized Mean

5

Feb 26, 2026

Mountain Car v0

98.3Steps to Goal

5

Feb 26, 2026

DD-double-gates+

13Mean Score

5

Feb 26, 2026

DD-double-gates

13.1Mean Score

5

Feb 26, 2026

7.4Mean Score

5

Feb 26, 2026

DI-double-gates+

13Mean Reward

5

Feb 26, 2026

DI-double-gates

12.7Mean Score

5

Feb 26, 2026

13.2Mean Score

5

Feb 26, 2026

-0.63Episode Return

5

Feb 26, 2026

Distributional Mask

-0.23Episode Return

5

Feb 26, 2026

18.6Episode Return

5

Feb 26, 2026

MuJoCo Reacher v4

77Normalized Performance

5

May 29, 2026

MuJoCo Hopper v4

549Policy Return

5

May 29, 2026

MuJoCo HalfCheetah v4

2,287Return

5

May 29, 2026

6.62Avg External Reward per Episode

5

Feb 26, 2026

9.76Avg Cumulative Reward

5

Feb 26, 2026

9.4Avg Cumulative Reward

5

Feb 26, 2026

Caveflyer (test)

11.14Avg Cumulative Reward

5

Feb 26, 2026

Page 25 of 41

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