# RLE-Foundation/RLeXplore

<https://repo.masters-masters.com/en/repos/RLE-Foundation/RLeXplore>

[Home](https://repo.masters-masters.com/en) › [RLE-Foundation](https://repo.masters-masters.com/en/owners/RLE-Foundation) › [RLeXplore](https://repo.masters-masters.com/en/repos/RLE-Foundation/RLeXplore)

RLE-Foundation/RLeXplore has 469 stars on GitHub. Its RepoMasters card: Alpha tier. RLeXplore provides stable baselines of exploration methods in…

| Field | Value |
| --- | --- |
| Owner | [RLE-Foundation](https://repo.masters-masters.com/en/owners/RLE-Foundation) |
| Stars | 469 |
| Forks | 24 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2022 |
| Topics | reinforcement-learning, efficient-algorithm, exploration-strategy, baselines, gym, machine-learning, pybullet, pytorch, robotics, toolbox |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [RLE-Foundation/RLeXplore](https://github.com/RLE-Foundation/RLeXplore) |

## Repository

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

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.