sinergym.utils.wrappers.NormalizeAction
- class sinergym.utils.wrappers.NormalizeAction(*args, **kwargs)
Wrapper to normalize action space.
- __init__(*args, **kwargs)
Constructor for the action wrapper.
- Parameters:
env – Environment to be wrapped.
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 theenv
that can be overwritten to change the returned data.reset
(*[, seed, options])Uses the
reset()
of theenv
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 modifiedaction
fromself.action()
.wrapper_spec
(**kwargs)Generates a WrapperSpec for the wrappers.
Attributes
action_space
Return the
Env
action_space
unless overwritten then the wrapperaction_space
is used.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 wrapperobservation_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.- Parameters:
action – The original
step()
actions- Returns:
The modified actions
- logger = <Logger WRAPPER NormalizeAction (INFO)>
- 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