sinergym.utils.wrappers.PreviousObservationWrapper

class sinergym.utils.wrappers.PreviousObservationWrapper(env: Env, previous_variables: List[str])

Wrapper to add observation values from previous timestep to current environment observation

__init__(env: Env, previous_variables: List[str]): Constructor for the observation wrapper.

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.
`observation`(obs)	Add previous observation to the current one
`render`()	Uses the `render()` of the `env` that can be overwritten to change the returned data.
`reset`(*[, seed, options])	Modifies the `env` after calling `reset()`, returning a modified observation using `self.observation()`.
`step`(action)	Modifies the `env` after calling `step()` using `self.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 wrapper `action_space` is used.
`logger`
`metadata`	Returns the `Env` `metadata`.
`np_random`	Returns the `Env` `np_random` attribute.
`observation_space`	Return the `Env` `observation_space` unless overwritten then the wrapper `observation_space` is used.
`render_mode`	Returns the `Env` `render_mode`.
`reward_range`	Return the `Env` `reward_range` unless overwritten then the wrapper `reward_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.

observation(obs: ndarray) → ndarray

Add previous observation to the current one