sinergym.utils.wrappers.NormalizeAction

class sinergym.utils.wrappers.NormalizeAction(*args, **kwargs)

Wrapper to normalize action space.

__init__(*args, **kwargs)

Constructor for the action wrapper.

Methods

`__init__`(args, *kwargs)	Constructor for the action wrapper.
`action`(action)	Returns a modified action before `step()` is called.
`class_name`()	Returns the class name of the wrapper.
`close`()	Closes the wrapper and `env`.
`get_wrapper_attr`(name)	Gets an attribute from the wrapper and lower environments if name doesn't exist in this object.
`has_wrapper_attr`(name)	Checks if the given attribute is within the wrapper or its environment.
`render`()	Uses the `render()` of the `env` that can be overwritten to change the returned data.
`reset`(*[, seed, options])	Uses the `reset()` of the `env` that can be overwritten to change the returned data.
`reverting_action`(action)	This method maps a normalized action in a real action space.
`set_wrapper_attr`(name, value, *[, force])	Sets an attribute on this wrapper or lower environment if name is already defined.
`step`(action)	Runs the `env` `env.step()` using the modified `action` from `self.action()`.
`wrapper_spec`(**kwargs)	Generates a WrapperSpec for the wrappers.

Attributes

`action_space`	Return the `Env` `action_space` unless overwritten then the wrapper `action_space` is used.
`logger`
`metadata`	Returns the `Env` `metadata`.
`np_random`	Returns the `Env` `np_random` attribute.
`np_random_seed`	Returns the base environment's `np_random_seed`.
`observation_space`	Return the `Env` `observation_space` unless overwritten then the wrapper `observation_space` is used.
`render_mode`	Returns the `Env` `render_mode`.
`spec`	Returns the `Env` `spec` attribute with the WrapperSpec if the wrapper inherits from EzPickle.
`unwrapped`	Returns the base environment of the wrapper.

action(action: ndarray) → ndarray

Returns a modified action before step() is called.

reverting_action(action: ndarray) → ndarray

This method maps a normalized action in a real action space.

Parameters:: action (np.ndarray) – Normalize action received in environment
Returns:: Action transformed in simulator real action space.
Return type:: np.array