episodes episodic environments are much simpler because the agent does not need to think ahead constructing an environment with python for building reinforcement learning agentwe will be using the openai gym package which can be installed with the help of the following commandpip install gym there are various environments in openai gym which can be used for various purposes few of them are cartpole- hopper- and mspacman- they require different engines the detail documentation of openai gym can be found on the following code shows an example of python code for cartpole- environmentimport gym env gym make('cartpole- 'env reset(for in range( )env render(env step(env action_space sample()