How to Use

Welcome to the "How to Use" guide for the MuJoCo-Rl environment. This guide will provide you with step-by-step instructions on how to effectively utilize the various features and functionalities of the MuJoCo-Rl package.

Table of Contents

1. Using the MuJoCo-Rl Environment
   • Agent Types
2. Environment Dynamics
   • Template
   • Language Channel
3. MuJoCo-Helper Functions
   • Data
   • Tags
   • Distance
   • Collision
   • Camera
4. Additional Functions
5. Use with Stable Baselines
   • Environment Setup
   • Stable Baselines

Using the MuJoCo-Rl Environment

This section explains how to effectively use our MuJoCo-Rl environment. It provides an overview over all the hyperparameters of the environment and the available agent types and their respective functionalities.

Environment Dynamics

This section focuses on the dynamics of the environment in MuJoCo-Rl. It covers topics such as creating environment dynamics and it provides an exemplary language channel implementation for two agents.

MuJoCo-Helper Functions

This section introduces various helper functions available in the MuJoCo-Rl package, which can be used in the environment dynamics. These functions assist in retrieving data, filtering by tags, measuring distances between objects, detecting collisions, and accessing camera data.

Use with Stable Baselines

Explore how to integrate the MuJoCo-Rl environment with the Stable Baselines3, which provides efficient and reliable implementations of reinforcement learning algorithms.