# lcswillems/rl-starter-files

<https://repo.masters-masters.com/en/repos/lcswillems/rl-starter-files>

[Home](https://repo.masters-masters.com/en) › [lcswillems](https://repo.masters-masters.com/en/owners/lcswillems) › [rl-starter-files](https://repo.masters-masters.com/en/repos/lcswillems/rl-starter-files)

lcswillems/rl-starter-files has 730 stars on GitHub. Its RepoMasters card: Beta tier. RL starter files in order to immediately train, visualize and evaluate…

| Field | Value |
| --- | --- |
| Owner | [lcswillems](https://repo.masters-masters.com/en/owners/lcswillems) |
| Stars | 730 |
| Forks | 193 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | pytorch, multi-process, minigrid, a2c, a3c, ppo, preprocessed-observations, reward-shaping |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [lcswillems/rl-starter-files](https://github.com/lcswillems/rl-starter-files) |

## Repository

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.