MicroGrid

from os import getcwd
# getcwd()

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MicroGridEnvPlus

 MicroGridEnvPlus (**kwargs)

*The main OpenAI Gym class. It encapsulates an environment with arbitrary behind-the-scenes dynamics. An environment can be partially or fully observed.

The main API methods that users of this class need to know are:

step
reset
render
close
seed

And set the following attributes:

action_space: The Space object corresponding to valid actions
observation_space: The Space object corresponding to valid observations
reward_range: A tuple corresponding to the min and max possible rewards

Note: a default reward range set to [-inf,+inf] already exists. Set it if you want a narrower range.

The methods are accessed publicly as “step”, “reset”, etc…*

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MicroGridEnv0Plus

 MicroGridEnv0Plus (**kwargs)

*The main OpenAI Gym class. It encapsulates an environment with arbitrary behind-the-scenes dynamics. An environment can be partially or fully observed.

The main API methods that users of this class need to know are:

step
reset
render
close
seed

And set the following attributes:

action_space: The Space object corresponding to valid actions
observation_space: The Space object corresponding to valid observations
reward_range: A tuple corresponding to the min and max possible rewards

Note: a default reward range set to [-inf,+inf] already exists. Set it if you want a narrower range.

The methods are accessed publicly as “step”, “reset”, etc…*