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gz drl · amaldevh

Reproducible reinforcement-learning experiments in Gazebo.

aerial-roboticsdeep-reinforcement-learninggazeboreinforcement-learningreproducibility
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gz drl · amaldevh resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Reproducible reinforcement-learning experiments in Gazebo.

Publisher summary: “Reproducible and Scalable RL in Gazebo”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
amaldevh
Primary language
C++
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-09-16

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • GzDRL: Reproducible and Scalable Deep Reinforcement Learning with Gazebo
  • Getting started
  • Requirements
  • Build
  • Run an example
  • Overview

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