sinergym.utils.wrappers.NormalizeObservation
- class sinergym.utils.wrappers.NormalizeObservation(env: EplusEnv, epsilon: float = 1e-08)
- __init__(env: EplusEnv, epsilon: float = 1e-08)
This wrapper will normalize observations s.t. each coordinate is centered with unit variance.
- Parameters:
env (Env) – The environment to apply the wrapper
epsilon (float) – A stability parameter that is used when scaling the observations. Defaults to 1e-8
Methods
__init__
(env[, epsilon])This wrapper will normalize observations s.t.
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.
normalize
(obs)Normalizes the observation using the running mean and variance of the observations.
render
()Uses the
render()
of theenv
that can be overwritten to change the returned data.reset
(**kwargs)Resets the environment and normalizes the observation.
step
(action)Steps through the environment and normalizes the observation.
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.observation_space
Return the
Env
observation_space
unless overwritten then the wrapperobservation_space
is used.render_mode
Returns the
Env
render_mode
.reward_range
Return the
Env
reward_range
unless overwritten then the wrapperreward_range
is used.spec
Returns the
Env
spec
attribute with the WrapperSpec if the wrapper inherits from EzPickle.unwrapped
Returns the base environment of the wrapper.
- logger = <Logger WRAPPER NormalizeObservation (INFO)>
- normalize(obs)
Normalizes the observation using the running mean and variance of the observations.
- reset(**kwargs)
Resets the environment and normalizes the observation.
- step(action)
Steps through the environment and normalizes the observation.