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mopa rl · clvrai

Motion-planner-augmented RL for manipulation in obstructed environments.

roboticsrobot-manipulationreinforcement-learningrobot-learningmotion-planners
Publisher repository ↗
mopa rl · clvrai resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Motion-planner-augmented RL for manipulation in obstructed environments.

Publisher summary: “Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)”

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
clvrai
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
2022-11-27

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

Documentation sections

  • Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
  • Prerequisites
  • Installation
  • Download mujoco 2.0
  • Copy mujoco license key mjkey.txt to ~/.mujoco
  • Add mujoco to LDLIBRARYPATH

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