sinergym.utils.wrappers.OfficeGridStorageSmoothingActionConstraintsWrapperï
- class sinergym.utils.wrappers.OfficeGridStorageSmoothingActionConstraintsWrapper(env)ï
- __init__(env)ï
Constructor for the action wrapper.
- Parameters:
env â Environment to be wrapped.
Methods
__init__(env)Constructor for the action wrapper.
action(act)Due to Charge rate and Discharge rate can't be more than 0.0 simultaneously (in OfficeGridStorageSmoothing.idf),
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 theenvthat can be overwritten to change the returned data.reset(*[, seed, options])Uses the
reset()of theenvthat can be overwritten to change the returned data.set_wrapper_attr(name, value, *[, force])Sets an attribute on this wrapper or lower environment if name is already defined.
step(action)Runs the
envenv.step()using the modifiedactionfromself.action().wrapper_spec(**kwargs)Generates a WrapperSpec for the wrappers.
Attributes
action_spaceReturn the
Envaction_spaceunless overwritten then the wrapperaction_spaceis used.metadataReturns the
Envmetadata.np_randomReturns the
Envnp_randomattribute.np_random_seedReturns the base environment's
np_random_seed.observation_spaceReturn the
Envobservation_spaceunless overwritten then the wrapperobservation_spaceis used.render_modeReturns the
Envrender_mode.specReturns the
Envspecattribute with the WrapperSpec if the wrapper inherits from EzPickle.unwrappedReturns the base environment of the wrapper.
- action(act: ndarray) ndarrayï
- Due to Charge rate and Discharge rate canât be more than 0.0 simultaneously (in OfficeGridStorageSmoothing.idf),
this wrapper clips one of the to 0.0 when both have a value upper than 0.0 (randomly).
- Parameters:
act (np.ndarray) â Action to be clipped
- Returns:
Action Clipped
- Return type:
np.ndarray