sinergym.utils.wrappers.PreviousObservationWrapper
- class sinergym.utils.wrappers.PreviousObservationWrapper(env: Any, previous_variables: List[str])
Wrapper to add observation values from previous timestep to current environment observation
- __init__(env: Any, previous_variables: List[str])
Constructor for the observation wrapper.
- Parameters:
env – Environment to be wrapped.
Methods
__init__
(env, previous_variables)Constructor for the observation wrapper.
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.
observation
(obs)Add previous observation to the current one
render
()Uses the
render()
of theenv
that can be overwritten to change the returned data.reset
(*[, seed, options])Modifies the
env
after callingreset()
, returning a modified observation usingself.observation()
.set_wrapper_attr
(name, value)Sets an attribute on this wrapper or lower environment if name is already defined.
step
(action)Modifies the
env
after callingstep()
usingself.observation()
on the returned observations.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.
- observation(obs: ndarray) ndarray
Add previous observation to the current one
- Parameters:
obs (np.ndarray) – Original observation.
- Returns:
observation with
- Return type:
np.ndarray