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Reinforcement Learning research benchmarks – Page 33 · SOTA2 Research

Reinforcement Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

16.2Score

4

Mar 10, 2026

DM-HARD-8 suite

69.87Mean CHNS

4

Feb 26, 2026

1,187.5Max Agent Score

4

Feb 26, 2026

12,326.7Max Agent Score

4

Feb 26, 2026

6,463.7Max Score

4

Feb 26, 2026

10,964.95Max Agent Score

4

Feb 26, 2026

Real-World RL (RWRL) Hard

244.71Cartpole Score

4

Feb 26, 2026

Real-World RL (RWRL) (Medium)

516.69Cartpole Score

4

Feb 26, 2026

Real-World RL (RWRL) Easy

861.05Cartpole Score

4

Feb 26, 2026

Atari 100K 36 games

423.3Alien Score

4

Feb 26, 2026

9.3Cumulative Reward

4

Feb 26, 2026

3.3Cumulative Reward

4

Feb 26, 2026

Atari 49 games (train)

32Score (Subset 100)

4

Feb 26, 2026

1,510.8Alien Score

4

Feb 26, 2026

Atari 2600 Hero ALE (test)

30,826.4Maximum Agent Score

4

Feb 26, 2026

Atari 2600 Seaquest

2,300Best Stable Score

4

Feb 26, 2026

Atari 2600 Pong

20Best Score

4

Feb 26, 2026

Atari 2600 Breakout

500Best Stable Score

4

Feb 26, 2026

Walker2D MuJoCo (unseen states)

3,200Reward

4

Feb 26, 2026

Pong (Atari) (unseen states)

18.5Reward

4

Feb 26, 2026

Unspecified Benchmark

87.5Task Success Rate

4

Feb 26, 2026

2,300Score (Seaquest)

4

Feb 26, 2026

Multi-domain RL environments

146Number of RL Libraries

3

Jun 25, 2026

100Normalized Score

3

Jun 16, 2026

MuJoCo HalfCheetah unseen environments (test)

4,956.37Average Return

3

Jun 16, 2026

Page 33 of 41

Popular datasets

Atari Atari 2600 halfcheetah DMControl hopper

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