# activatedgeek/torchrl

<https://repo.masters-masters.com/en/repos/activatedgeek/torchrl>

[Home](https://repo.masters-masters.com/en) › [activatedgeek](https://repo.masters-masters.com/en/owners/activatedgeek) › [torchrl](https://repo.masters-masters.com/en/repos/activatedgeek/torchrl)

activatedgeek/torchrl has 116 stars on GitHub. Its RepoMasters card: Prototype tier. Highly Modular and Scalable Reinforcement Learning Language: Python.

| Field | Value |
| --- | --- |
| Owner | [activatedgeek](https://repo.masters-masters.com/en/owners/activatedgeek) |
| Stars | 116 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | machine-learning, reinforcement-learning, reinforcement-learning-algorithms, pytorch, deep-learning, deep-reinforcement-learning, python3, dqn, policy-gradient |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [activatedgeek/torchrl](https://github.com/activatedgeek/torchrl) |

## Repository

Highly Modular and Scalable Reinforcement Learning

Archived: this repository is read-only

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.