sinergym.utils.wrappers.NormalizeAction

class sinergym.utils.wrappers.NormalizeAction(env: EplusEnv, normalize_range: Tuple[float, float] = (-1.0, 1.0))

Wrapper to normalize action space.

__init__(env: EplusEnv, normalize_range: Tuple[float, float] = (-1.0, 1.0))

Wrapper to normalize action space in default continuous environment (not to combine with discrete environments). The action will be parsed to real action space before to send to the simulator (very useful ion DRL algorithms)

Parameters:

• env (EplusEnv) – Original environment.

• normalize_range (Tuple[float,float]) – Range to normalize action variable values. Defaults to values between [-1.0,1.0].

Methods

__init__(env[, normalize_range])	Wrapper to normalize action space in default continuous environment (not to combine with discrete environments).
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)	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: Any)

Returns a modified action before step() is called.

Parameters:

action – The original step() actions

Returns:

The modified actions

logger = <Logger WRAPPER NormalizeAction (INFO)>

reverting_action(action: Any) → List[float]

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

Parameters:

action (Any) – Normalize action received in environment

Returns:

Action transformed in simulator real action space.

Return type:

List[float]