sinergym.utils.wrappers.MultiObsWrapper

class sinergym.utils.wrappers.MultiObsWrapper(*args: Any, **kwargs: Any)

__init__(env: Any, n: int = 5, flatten: bool = True) → None

Stack of observations.

Parameters:

env (Any) – Original Gym environment.
n (int, optional) – Number of observations to be stacked. Defaults to 5.
flatten (bool, optional) – Whether or not flat the observation vector. Defaults to True.

Methods

`__init__`(env[, n, flatten])	Stack of observations.
`reset`()	Resets the environment.
`step`(action)	Performs the action in the new environment.

reset() → ndarray

Resets the environment.

step(action: int | ndarray) → Tuple[ndarray, float, bool, Dict[str, Any]]

Performs the action in the new environment.

Parameters:: action (Union[int, np.ndarray]) – Action to be executed in environment.
Returns:: Tuple with next observation, reward, bool for terminated episode and dict with extra information.
Return type:: Tuple[np.ndarray, float, bool, Dict[str, Any]]