# criteo-research/reco-gym

<https://repo.masters-masters.com/en/repos/criteo-research/reco-gym>

[Home](https://repo.masters-masters.com/en) › [criteo-research](https://repo.masters-masters.com/en/owners/criteo-research) › [reco-gym](https://repo.masters-masters.com/en/repos/criteo-research/reco-gym)

criteo-research/reco-gym has 483 stars on GitHub. Its RepoMasters card: Alpha tier. Code for reco-gym: A Reinforcement Learning Environment for the problem of…

| Field | Value |
| --- | --- |
| Owner | [criteo-research](https://repo.masters-masters.com/en/owners/criteo-research) |
| Stars | 483 |
| Forks | 96 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | openai-gym, pytorch, recommendation-system, criteo |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [criteo-research/reco-gym](https://github.com/criteo-research/reco-gym) |

## Repository

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.