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ur_openai_gym/README.md

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-# ur_openai_gym
-OpenAI Gym interface for Universal Robots with ROS Gazebo based on [openai_ros](https://bitbucket.org/theconstructcore/openai_ros/src/kinetic-devel/)
 
-### Examples
-- **Reinforcement Learning** with Soft-Actor-Critic (SAC) with the implementation from [TF2RL](https://github.com/keiohta/tf2rl)
-  with 2 action spaces: task-space (end-effector Cartesian space) and joint-space.
-1. Start the simulation environment based on [ur3](https://github.com/cambel/ur3)
-`roslaunch ur3_gazebo ur3e_cubes_example.launch` 
-2. Execute the learning session:
-
-For task-space example:
-` rosrun ur_rl tf2rl_sac.py -e 0`
-
-For task-space example:
-` rosrun ur_rl tf2rl_sac.py -e 1`
-
-## [Install with Docker](https://github.com/cambel/ur_openai_gym/wiki/Install-with-Docker)