# alexis-jacq/Pytorch-DPPO

<https://repo.masters-masters.com/en/repos/alexis-jacq/Pytorch-DPPO>

[Home](https://repo.masters-masters.com/en) › [alexis-jacq](https://repo.masters-masters.com/en/owners/alexis-jacq) › [Pytorch-DPPO](https://repo.masters-masters.com/en/repos/alexis-jacq/Pytorch-DPPO)

alexis-jacq/Pytorch-DPPO has 185 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of Distributed Proximal Policy Optimization…

| Field | Value |
| --- | --- |
| Owner | [alexis-jacq](https://repo.masters-masters.com/en/owners/alexis-jacq) |
| Stars | 185 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [alexis-jacq/Pytorch-DPPO](https://github.com/alexis-jacq/Pytorch-DPPO) |

## Repository

Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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