89 citations · 122 across the 3 of their papers we have counts for
3 papers
ROS2Learn: a reinforcement learning framework for ROS 2
Yue Leire Erro Nuin, Nestor Gonzalez Lopez, Elias Barba Moral +4
We propose a novel framework for Deep Reinforcement Learning (DRL) in modular robotics to train a robot directly from joint states, using traditional robotic tools. We use an state…
gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo
Nestor Gonzalez Lopez, Yue Leire Erro Nuin, Elias Barba Moral +4
This paper presents an upgraded, real world application oriented version of gym-gazebo, the Robot Operating System (ROS) and Gazebo based Reinforcement Learning (RL) toolkit, which…
Extending the OpenAI Gym for robotics: a toolkit for reinforcement learning using ROS and Gazebo
Iker Zamora, Nestor Gonzalez Lopez, Victor Mayoral Vilches +1
This paper presents an extension of the OpenAI Gym for robotics using the Robot Operating System (ROS) and the Gazebo simulator. The content discusses the software architecture pro…