# EMI-Group/evorl

<https://repo.masters-masters.com/en/repos/EMI-Group/evorl>

[Home](https://repo.masters-masters.com/en) › [EMI-Group](https://repo.masters-masters.com/en/owners/EMI-Group) › [evorl](https://repo.masters-masters.com/en/repos/EMI-Group/evorl)

EMI-Group/evorl has 336 stars on GitHub. Its RepoMasters card: Alpha tier. EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning…

| Field | Value |
| --- | --- |
| Owner | [EMI-Group](https://repo.masters-masters.com/en/owners/EMI-Group) |
| Stars | 336 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2024 |
| Topics | automl, evolutionary-algorithms, gpu-acceleration, hpo, jax, policy-gradient, population-based-training, ppo, reinforcement-learning, reinforcement-learning-agent |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [EMI-Group/evorl](https://github.com/EMI-Group/evorl) |

## Repository

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environment…

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.