b:botstest.Submit a resource ↗

Software / Research

kineForge · amgustav

kineForge provides training, stress-testing and replay workflows for MuJoCo robot policies.

embodied-aigymnasiummujocopporeinforcement-learning
Publisher repository ↗
kineForge · amgustav resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

kineForge provides training, stress-testing and replay workflows for MuJoCo robot policies.

Publisher summary: “RL-first robot policy testbed: train, stress-test, evaluate, and replay MuJoCo robot policies.”

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
amgustav
Primary language
Python
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
2026-06-28

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

Documentation sections

  • kineForge
  • Result
  • Quickstart
  • What you get
  • How it works
  • Repo layout

Browse this resource’s categories

Software / Robot learning frameworks ↗

Explore related collections

Browse Software →

More in Software