Welcome to Highrl’s documentation!

Highrl is a library for training robots using RL under the scheme of multi-level RL. The library has numerous features from generating random environment, training agents to generate curriculum learning schemes, or train robots in pre-defined environments.

Github repository: https://github.com/ahmedheakl/multi-level-rl-for-robotics

Check out the Installation section for further information, including how to install the project.

Main Features

• Unified state-of-the art environment

• PEP8 compliant (unified code style)

• Documented functions and classes

• Tests, high code coverage and type hints

• Clean code

• Wrapped environment style

Note

This project is under active development.

User Guide

• Installation
  • Prerequisites
  • Windows 10
  • Linux
  • Development version
  • Docker
• Getting Started
• Configurations
  • Robot Configurations
  • Teacher Configurations
  • Evaluation Configurations
  • Add Your configs

Environments

• Environments
• Teacher Environment
• Robot Environment
• Evaluation Environment

Utilities

• Convex Hull Difficulty

Indices and tables

• Index

• Module Index

• Search Page