AcutronicRobotics/gym-gazebo2
A reinforcement learning toolkit enabling RL algorithm development and benchmarking within ROS 2 and Gazebo robotics simulations.
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gym-gazebo2 provides a simulation environment for training reinforcement learning agents on robotic systems. Built as an extension of the OpenAI Gym concept, it integrates with ROS 2 for robot middleware and Gazebo for physics-based simulation. The toolkit allows researchers to benchmark and develop robot behaviors through deep reinforcement learning techniques in a realistic simulated environment.
Frequently asked
- What is AcutronicRobotics/gym-gazebo2?
- A reinforcement learning toolkit enabling RL algorithm development and benchmarking within ROS 2 and Gazebo robotics simulations.
- Is gym-gazebo2 open source?
- Yes — AcutronicRobotics/gym-gazebo2 is open source, released under the Apache-2.0 license.
- What language is gym-gazebo2 written in?
- AcutronicRobotics/gym-gazebo2 is primarily written in Python.
- How popular is gym-gazebo2?
- AcutronicRobotics/gym-gazebo2 has 480 stars on GitHub.
- Where can I find gym-gazebo2?
- AcutronicRobotics/gym-gazebo2 is on GitHub at https://github.com/AcutronicRobotics/gym-gazebo2.