Introduction to control tasks

OpenAI Gym offers classic control tasks from the classic reinforcement learning literature. These tasks include CartPole, MountainCar, Acrobot, and Pendulum. To find out more, visit the OpenAI Gym website at: https://gym.openai.com/envs/#classic_control. Besides this, Gym also provides more complex continuous control tasks running in the popular physics simulator MuJoCo. Here is the homepage for MuJoCo: http://www.mujoco.org/. MuJoCo stands for Multi-Joint Dynamics with Contact, which is a physics engine for research and development in robotics, graphics, and animation. The tasks provided by Gym are Ant, HalfCheetah, Hopper, Humanoid, InvertedPendulum, Reacher, Swimmer, and Walker2d. These names are very tricky, aren't they? For more details about these tasks, please visit the following link: https://gym.openai.com/envs/#mujoco.

Getting started

If you don't have a full installation of OpenAI Gym, you can install the classic_control and mujoco environment dependencies...