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Dominik Moritz Roth 2024-01-23 17:25:05 +01:00
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<br><br> <br><br>
</h1> </h1>
Built upon the foundation of [Gymnasium](https://gymnasium.farama.org/) (a maintained fork of OpenAI’s renowned Gym library) `fancy_gym` offers a comprehensive collection of reinforcement learning environments. Built upon the foundation of [Gymnasium](https://gymnasium.farama.org) (a maintained fork of OpenAI’s renowned Gym library) `fancy_gym` offers a comprehensive collection of reinforcement learning environments.
**Key Features**: **Key Features**:
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pip install 'fancy_gym[all]' pip install 'fancy_gym[all]'
``` ```
Try out one of our step-based environments [or explore our other envs](https://dominik-roth.eu/fancy/envs/fancy/index.html>) Try out one of our step-based environments [or explore our other envs](https://dominik-roth.eu/fancy/envs/fancy/index.html)
```python ```python
import gymnasium as gym import gymnasium as gym
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observation, info = env.reset() observation, info = env.reset()
``` ```
Explore the MP-based variant [or learn more about Movement Primitives (MPs)](https://dominik-roth.eu/fancy/guide/episodic_rl.html>) Explore the MP-based variant [or learn more about Movement Primitives (MPs)](https://dominik-roth.eu/fancy/guide/episodic_rl.html)
```python ```python
import gymnasium as gym import gymnasium as gym