Overview

The how-to guides offer a more comprehensive overview of all the tools 🤗 Simulate offers and how to use them. This will help you build 3D environments, define an Actors with Sensors, Actuators and Reward Functions.

The guides assume you are familiar and comfortable with the 🤗 Simulate basics. We recommend newer users check out our tutorials first.

Interested in learning more about Deep RL? Check of the 🤗 Deep RL course.

The guides are organized into five sections:

General usage: How to define the walls, objects and lighting of an environment.
Reinforcement Learning: How to create you Actors, Sensors, Actuators and Reward Functions
Synthetic data generation: How to use the Simulate library to create synthetic datasets.
Articulation bodies: How to set up robotic limbs, with hinges, joints and sliders.
Advanced usage: How to achieve high throughput training with Map Pools, the [sample-factory](https://alex-petrenko.github.io/sample-factory/) RL framework and running Simulate on a GCP instance</a>.

If you have any questions about 🤗 Datasets, feel free to join and ask the community on our forum.