# ikostrikov/jaxrl

<https://repo.masters-masters.com/en/repos/ikostrikov/jaxrl>

[Home](https://repo.masters-masters.com/en) › [ikostrikov](https://repo.masters-masters.com/en/owners/ikostrikov) › [jaxrl](https://repo.masters-masters.com/en/repos/ikostrikov/jaxrl)

ikostrikov/jaxrl has 759 stars on GitHub. Its RepoMasters card: Beta tier. JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with…

| Field | Value |
| --- | --- |
| Owner | [ikostrikov](https://repo.masters-masters.com/en/owners/ikostrikov) |
| Stars | 759 |
| Forks | 76 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | deep-learning, deep-reinforcement-learning, continuous-control, reinforcement-learning, soft-actor-critic, sac, deep-deterministic-policy-gradient, jax, flax, gym |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ikostrikov/jaxrl](https://github.com/ikostrikov/jaxrl) |

## Repository

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

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

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