---
title: "ikostrikov/pytorch-a2c-ppo-acktr-gail: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository ikostrikov/pytorch-a2c-ppo-acktr-gail in their Crossref records, the first in 2021; most of them (1) in 2025."
url: https://scholar4ai.com/code/github-ikostrikov-pytorch-a2c-ppo-acktr-gail
markdown_url: https://scholar4ai.com/code/github-ikostrikov-pytorch-a2c-ppo-acktr-gail.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository ikostrikov/pytorch-a2c-ppo-acktr-gail in their Crossref records, the first in 2021; most of them (1) in 2025. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# ikostrikov/pytorch-a2c-ppo-acktr-gail: papers linking to it

Research papers in the 480 tracked journals that link to ikostrikov/pytorch-a2c-ppo-acktr-gail (https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- GitHub
- 3,909 stars
- 840 forks
- Python
- license MIT
- created 2017
- https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the GitHub repository ikostrikov/pytorch-a2c-ppo-acktr-gail in their Crossref records, the first in 2021; most of them (1) in 2025.
- By category: AI (3); the journals with the most are Nature Machine Intelligence (1), Machine Learning (1) and International Journal of Computer Vision (1).

## By year

*Papers linking to ikostrikov/pytorch-a2c-ppo-acktr-gail by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2023 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to ikostrikov/pytorch-a2c-ppo-acktr-gail most*

| Journal | Papers |
|---|---:|
| [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |

## Papers

*Papers linking to ikostrikov/pytorch-a2c-ppo-acktr-gail, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-02-27 | [An Exploration of Embodied Visual Exploration](https://doi.org/10.1007/s11263-021-01437-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Santhosh Kumar Ramakrishnan, Dinesh Jayaraman, Kristen Lorraine Grauman | 102 | cites it |
| 2023-01-25 | [Emergent behaviour and neural dynamics in artificial agents tracking odour plumes](https://doi.org/10.1038/s42256-022-00599-w) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao et al. | 61 | cites it |
| 2025-07-13 | [Perfect counterfactuals in imperfect worlds: modelling noisy implementation of actions in sequential algorithmic recourse](https://doi.org/10.1007/s10994-025-06821-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Yueqing Xuan, Kacper Sokol, Mark Sanderson et al. | 1 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). ikostrikov/pytorch-a2c-ppo-acktr-gail: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ikostrikov-pytorch-a2c-ppo-acktr-gail

```bibtex
@misc{scholar4ai-code-github-ikostrikov-pytorch-a2c-ppo-acktr-gail,
  author = {{Scholar4AI}},
  title = {ikostrikov/pytorch-a2c-ppo-acktr-gail: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-ikostrikov-pytorch-a2c-ppo-acktr-gail}},
  urldate = {2026-11-03},
  note = {Journal and Conference 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/).