rllib/env/vector_env.py
def vector_step(
        self, actions: List[EnvActionType]
    ) -> Tuple[List[EnvObsType], List[float], List[bool], List[EnvInfoDict]]:
        """Performs a vectorized step on all sub environments using `actions`.

        Args:
            actions: List of actions (one for each sub-env).

        Returns:
            A tuple consisting of
            1) New observations for each sub-env.
            2) Reward values for each sub-env.
            3) Done values for each sub-env.
            4) Info values for each sub-env.
        """
        raise NotImplementedError
Performs a vectorized step on all sub environments using `actions`.

        Args:
            actions: List of actions (one for each sub-env).

        Returns:
            A tuple consisting of
            1) New observations for each sub-env.
            2) Reward values for each sub-env.
            3) Done values for each sub-env.
            4) Info values for each sub-env.
        
Performs a vectorized step on all sub environments using `actions`.
Performs a vectorized step on all sub environments using ` actions ` .
def vector_step(
        self, actions: List[EnvActionType]
    ) -> Tuple[List[EnvObsType], List[float], List[bool], List[EnvInfoDict]]:
        raise NotImplementedError
def vector_step ( self , actions : List [ EnvActionType ] ) -> Tuple [ List [ EnvObsType ] , List [ float ] , List [ bool ] , List [ EnvInfoDict ] ] : raise NotImplementedError
Performs a vectorized step on all sub environments using `actions`.
Performs a vectorized step on all sub environments using ` actions ` .
"""Performs a vectorized step on all sub environments using `actions`.

        Args:
            actions: List of actions (one for each sub-env).

        Returns:
            A tuple consisting of
            1) New observations for each sub-env.
            2) Reward values for each sub-env.
            3) Done values for each sub-env.
            4) Info values for each sub-env.
        """
A tuple consisting of
1) New observations for each sub-env.
2) Reward values for each sub-env.
3) Done values for each sub-env.
4) Info values for each sub-env.
A tuple consisting of 1 ) New observations for each sub - env . 2 ) Reward values for each sub - env . 3 ) Done values for each sub - env . 4 ) Info values for each sub - env .
self
actions
List[EnvActionType]
List of actions (one for each sub-env).
List of actions ( one for each sub - env ) .