b:botstest.Submit a resource ↗

Software / Open source

mujoco locomotion rl · ajmcastro

MuJoCo locomotion RL experiments with PPO and domain randomization.

continuous-controldeep-reinforcement-learningdomain-randomizationhumanoid-roboticsmujoco
Publisher repository ↗
mujoco locomotion rl · ajmcastro resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

MuJoCo locomotion RL experiments with PPO and domain randomization.

Publisher summary: “Physical AI through deep reinforcement learning — training robust locomotion policies in MuJoCo with PPO, domain randomization, and sim-to-real techniques.”

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
ajmcastro
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
2026-09-01

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

Documentation sections

  • MuJoCo Locomotion Reinforcement Learning Experiments
  • What you will learn
  • Stack
  • Prerequisites
  • Setup
  • Usage

Browse this resource’s categories

Explore related collections

Browse Software →