The *openai_ros package* has been released on Wiki.ROS!
http://wiki.ros.org/openai_ros
Introduction:
OpenAI provides a complete Reinforcement Learning set of libraries that allow to train software agents on tasks, so the agents can learn by themselves how to best do the task. Main type of agents are software agents, like this example where the OpenAI team trained an agent to play Dota 2.
One of the best tools of the OpenAI set of libraries is the Gym. The Gym allows to compare Reinforcement Learning algorithms by providing a common ground called the Environments.
Unfortunately, even if the Gym allows to train robots, does not provide environments to train ROS based robots using Gazebo simulations.
We have created the openai_ros package to provide the environments, so we all the ROS roboticists have a common ground where we can compare our best kung-fu when training robots. The package is open source and has lGPL license.
This is our contribution to the ROS ecosystem.
翻譯年糕
