A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.
-
Updated
Aug 13, 2024 - CMake
A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-world environments.
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.
RealROS is an open-source Python framework that seamlessly integrates with ROS (Robot Operating System) to create real-world robotics environments tailored for reinforcement learning (RL) applications. This modular framework simplifies RL development, enabling real-time training with physical robots
Add a description, image, and links to the uniros topic page so that developers can more easily learn about it.
To associate your repository with the uniros topic, visit your repo's landing page and select "manage topics."