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Reinforcement Learning research benchmarks – Page 40 · SOTA2 Research

Reinforcement Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

1.4Time (s)

1

Mar 23, 2026

4.07Execution Time

1

Mar 23, 2026

0.99Time

1

Mar 23, 2026

8.51Time

1

Mar 23, 2026

Log-barrier, Momentum

0.5Sample Complexity

1

Mar 17, 2026

Open-Ended Neural Reward Functions

2,506,511Zero-shot Reward

1

Feb 26, 2026

Open-Ended Neural Reward Functions

10,941,130Zero-shot Reward

1

Feb 26, 2026

FM-Guided RL Frameworks

—

—Primary metric

0

Mar 10, 2026

Linear Qπ Realizability

—

—Primary metric

0

Mar 4, 2026

MiniGrid RedBall unseen seeds

—

—Primary metric

0

Feb 26, 2026

MiniGrid RedBlueDoor unseen seeds

—

—Primary metric

0

Feb 26, 2026

MiniGrid DoorKey unseen seeds

—

—Primary metric

0

Feb 26, 2026

15 x 15 grid Reference scenario

—

—Primary metric

0

Feb 26, 2026

Theoretical Regret Analysis

—

—Primary metric

0

Feb 26, 2026

Linear function approximation

—

—Primary metric

0

Feb 26, 2026

General function approximation

—

—Primary metric

0

Feb 26, 2026

MuJoCo Walker2d v4

—

—Primary metric

0

Feb 26, 2026

MuJoCo Pusher v4

—

—Primary metric

0

Feb 26, 2026

MuJoCo HumanoidStandup v4

—

—Primary metric

0

Feb 26, 2026

MuJoCo Humanoid v4

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

OpenAI Gym Walker

—

—Primary metric

0

Feb 26, 2026

OpenAI Gym Hopper

—

—Primary metric

0

Feb 26, 2026

OpenAI Gym HalfCheetah

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Page 40 of 41

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