---
title: "Reinforcement learning environments datasets"
description: "Datasets in the category “Reinforcement learning environments” were mentioned in 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #50 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/reinforcement-learning-environments
markdown_url: https://scholar4ai.com/datasets/reinforcement-learning-environments.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Datasets in the category “Reinforcement learning environments” were mentioned in 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #50 of the 58 data categories mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Reinforcement learning environments

Simulators and benchmark suites for training and comparing reinforcement learning agents.

- 1 papers in the last 7 days
- 3 of its 7 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Reinforcement learning environments” were mentioned in 3 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #50 of the 58 data categories mentioned.
- The most-mentioned were D4RL (2), MuJoCo (1) and SUMO traffic simulator (1).
- By journal category: AI (3).
- Most of them appeared in Expert Systems with Applications (1), Pattern Recognition (1) and Machine Learning (1).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| D4RL | 2 | 0 | D4RL |
| MuJoCo | 1 | 0 | MuJoCo |
| SUMO traffic simulator | 1 | 1 | Simulation of Urban MObility, SUMO simulator, SUMO |
| Atari (Arcade Learning Environment) | 0 | 0 | Arcade Learning Environment, Atari 2600, Atari games |
| DeepMind Control Suite | 0 | 0 | DeepMind Control Suite, DMControl |
| OpenAI Gym / Gymnasium | 0 | 0 | OpenAI Gym, Gym environment |
| StarCraft | 0 | 0 | StarCraft |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-21 | [GCN-neural ODE-based diverging conflict resolution for ACT platoons: A case study of gap patterns on port collector-distributor highway](https://doi.org/10.1016/j.eswa.2026.134843) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yi Li, Xin Chen, Weili Wang et al. | Tongji University; Shanghai Maritime University; Merchants Chongqing Communications Research and Design Institute; … | SUMO traffic simulator |
| 2026-10-01 | [Mitigating state-action distribution shifts in offline reinforcement learning via implicit state-state planning](https://doi.org/10.1016/j.patcog.2026.115184) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Shuo Cao, Yuhu Cheng, Xuesong Wang | China University of Mining and Technology | D4RL |
| 2026-10-01 | [TACCO: Actor–Critic Contrastive Optimization for OOD Action Mitigation in Offline Reinforcement Learning](https://doi.org/10.1007/s10994-026-07170-3) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Haotian Zhang, Chen Wang, Jun Moon | Hanyang University | MuJoCo, D4RL |

## Cite this page

Scholar4AI. (2026). Reinforcement learning environments. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/reinforcement-learning-environments

```bibtex
@misc{scholar4ai-datasets-reinforcement-learning-environments,
  author = {{Scholar4AI}},
  title = {Reinforcement learning environments},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/reinforcement-learning-environments}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).