# medipixel/rl\_algorithms

<https://repo.masters-masters.com/en/repos/medipixel/rl_algorithms>

[Home](https://repo.masters-masters.com/en) › [medipixel](https://repo.masters-masters.com/en/owners/medipixel) › [rl\_algorithms](https://repo.masters-masters.com/en/repos/medipixel/rl_algorithms)

medipixel/rl\_algorithms has 518 stars on GitHub. Its RepoMasters card: Alpha tier. Structural implementation of RL key algorithms Language: Python.

| Field | Value |
| --- | --- |
| Owner | [medipixel](https://repo.masters-masters.com/en/owners/medipixel) |
| Stars | 518 |
| Forks | 63 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | reinforcement-learning, pytorch, gym, policy-gradient, deep-learning, dqn, python3 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [medipixel/rl\_algorithms](https://github.com/medipixel/rl_algorithms) |

## Repository

Structural implementation of RL key algorithms

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.