OpenAI Gym Environments

Our model has inputs and outputs and they are as follows.

• Our inputs are the things we perceive also known as the observation space

• Our outputs are the things we can do in this observation_space also known as the action space

Now there's two different types of spaces in OpenAI gym.

• Discrete: discrete spaces/actions are actions that are either on or off but never inbetween (0/1)

• Box: These spaces consist of real numbers which can be partly on or partly off (0,.1,.11,.5,1)

Usually box action spaces tend to have less actions since you have more control over every individual action