# michaelnny/deep\_rl\_zoo

<https://repo.masters-masters.com/en/repos/michaelnny/deep_rl_zoo>

[Home](https://repo.masters-masters.com/en) › [michaelnny](https://repo.masters-masters.com/en/owners/michaelnny) › [deep\_rl\_zoo](https://repo.masters-masters.com/en/repos/michaelnny/deep_rl_zoo)

michaelnny/deep\_rl\_zoo has 127 stars on GitHub. Its RepoMasters card: Prototype tier. A collection of Deep Reinforcement Learning algorithms implemented with…

| Field | Value |
| --- | --- |
| Owner | [michaelnny](https://repo.masters-masters.com/en/owners/michaelnny) |
| Stars | 127 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | dqn, r2d2, never-give-up, agent57, retrace, rainbow, ppo, c51, iqn, qr-dqn |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [michaelnny/deep\_rl\_zoo](https://github.com/michaelnny/deep_rl_zoo) |

## Repository

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

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.