# awjuliani/Meta-RL

<https://repo.masters-masters.com/en/repos/awjuliani/Meta-RL>

[Home](https://repo.masters-masters.com/en) › [awjuliani](https://repo.masters-masters.com/en/owners/awjuliani) › [Meta-RL](https://repo.masters-masters.com/en/repos/awjuliani/Meta-RL)

awjuliani/Meta-RL has 409 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of Meta-RL A3C algorithm Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [awjuliani](https://repo.masters-masters.com/en/owners/awjuliani) |
| Stars | 409 |
| Forks | 109 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Topics | tensorflow, reinforcement-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [awjuliani/Meta-RL](https://github.com/awjuliani/Meta-RL) |

## Repository

Implementation of Meta-RL A3C algorithm

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.