multiros

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ncbdrck /UniROS

A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.

robotics ros gym gymnasium reinforcement-learning-environments multiros realros uniros gymnasium-robotics

UpdatedAug 13, 2024
CMake

MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.

reinforcement-learning robotics deep-reinforcement-learning ros gym gazebo gymnasium multiros uniros gymnasium-robotics

UpdatedJul 6, 2024
Python

ncbdrck /sb3_ros_support

Star4

This package provides ROS support for Stable Baselines3. It allows you to train robotics RL agents in the real world and simulations using ROS and SB3.

opeani-gym robotics deep-reinforcement-learning ros reinforcement-learning-algorithms stable-baselines3 multiros

UpdatedAug 13, 2024
Python

ncbdrck /reactorx200_ros_reacher

Star2

Explore the capabilities of RealROS and MultiROS in training robots for real-world tasks. This repository showcases real-world training and Gazebo simulation-based training for a reach task based on the ReactorX 200 robot manipulator.

reinforcement-learning robotics ros gym gym-environments stable-baselines3 multiros realros